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1.

図書

図書
A.G. Arkadev and E.M. Braverman ; translated from the Russian by W. Turski and J.D. Cowan
出版情報: London : Academic Press, 1967  xi, 115 p. ; 19 cm
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2.

図書

図書
S. Winograd and J.D. Cowan
出版情報: Cambridge, Mass. : M.I.T. Press, c1963  xiv, 96 p. ; 25 cm
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3.

図書

図書
edited by David S. Touretzky
出版情報: San Mateo, Calif. : M. Kaufmann Publishers, c1989-  v. ; 24-28 cm
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目次情報: 続きを見る
Preface
NIPS Committees
Reviewers
Algorithms and Architectures / Part I:
Efficient Multiscale Sampling from Products of Gaussian Mixtures / Alexander T. Ihler ; Erik B. Sudderth ; William T. Freeman ; Alan S. Willsky
Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles / Mark Girolami ; Ata Kaban
Hierarchical Topic Models and the Nested Chinese Restaurant Process / David Blei ; Thomas L. Griffiths ; Michael I. Jordan ; Joshua B. Tenenbaum
Max-Margin Markov Networks / Ben Taskar ; Carlos Guestrin ; Daphne Koller
Invariant Pattern Recognition by Semi-Definite Programming Machines / Thore Graepel ; Ralf Herbrich
Learning a Distance Metric from Relative Comparisons / Matthew Schultz ; Thorsten Joachims
1-norm Support Vector Machines / Ji Zhu ; Saharon Rosset ; Trevor Hastie ; Rob Tibshirani
Image Reconstruction by Linear Programming / Koji Tsuda ; Gunnar Ratsch
Multiple-Instance Learning via Disjunctive Programming Boosting / Stuart Andrews ; Thomas Hofmann
Convex Methods for Transduction / Tijl De Bie ; Nello Cristianini
Kernel Dimensionality Reduction for Supervised Learning / Kenji Fukumizu ; Francis R. Bach
Clustering with the Connectivity Kernel / Bernd Fischer ; Volker Roth ; Joachim M. Buhmann
Efficient and Robust Feature Extraction by Maximum Margin Criterion / Haifeng Li ; Tao Jiang ; Keshu Zhang
Sparse Greedy Minimax Probability Machine Classification / Thomas Strohmann ; Andrei Belitski ; Greg Grudic ; Dennis DeCoste
Sequential Bayesian Kernel Regression / Jaco Vermaak ; Simon J. Godsill ; Arnaud Doucet
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms / Claudio Gentile
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction / Liva Ralaivola ; Florence d'Alche-Buc
Extreme Components Analysis / Max Welling ; Felix Agakov ; Christopher K. I. Williams
Linear Dependent Dimensionality Reduction / Nathan Srebro ; Tommi S. Jaakkola
Locality Preserving Projections / Xiaofei He ; Partha Niyogi
Optimal Manifold Representation of Data: An Information Theoretic Approach / Denis V. Chigirev ; William Bialek
Ranking on Data Manifolds / Dengyong Zhou ; Jason Weston ; Arthur Gretton ; Olivier Bousquet ; Bernhard Scholkopf
Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering / Yoshua Bengio ; Jean-Francois Paiement ; Pascal Vincent ; Olivier Delalleau ; Nicolas Le Roux ; Marie Ouimet
Pairwise Clustering and Graphical Models / Noam Shental ; Assaf Zomet ; Tomer Hertz ; Yair Weiss
Tree-structured Approximations by Expectation Propagation / Thomas Minka ; Yuan Qi
The IM Algorithm: A Variational Approach to Information Maximization / David Barber
Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply / Eiji Mizutani ; James W. Demmel
Large Scale Online Learning / Leon Bottou ; Yann Le Cun
Online Classification on a Budget / Koby Crammer ; Jaz Kandola ; Yoram Singer
Online Learning via Global Feedback for Phrase Recognition / Xavier Carreras ; Lluis Marquez
Sparse Representation and Its Applications in Blind Source Separation / Yuanqing Li ; Andrzej Cichocki ; Shun-ichi Amari ; Sergei Shishkin ; Jianting Cao ; Fanji Gu
Perspectives on Sparse Bayesian Learning / David Wipf ; Jason Palmer ; Bhaskar Rao
Semi-Supervised Learning with Trees / Charles Kemp ; Sean Stromsten
Efficient Exact k-NN and Nonparametric Classification in High Dimensions / Ting Liu ; Andrew W. Moore ; Alexander Gray
Nonstationary Covariance Functions for Gaussian Process Regression / Christopher J. Paciorek ; Mark J. Schervish
Learning the k in k-means / Greg Hamerly ; Charles Elkan
Finding the M Most Probable Configurations in Arbitrary Graphical Models / Chen Yanover
Non-linear CCA and PCA by Alignment of Local Models / Jakob J. Verbeek ; Sam T. Roweis ; Nikos Vlassis
Learning Spectral Clustering
AUC Optimization vs. Error Rate Minimization / Corinna Cortes ; Mehryar Mohri
Learning with Local and Global Consistency / Thomas Navin Lal
Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data / Neil D. Lawrence
Warped Gaussian Processes / Edward Snelson ; Carl Edward Rasmussen ; Zoubin Ghahramani
Can We Learn to Beat the Best Stock / Allan Borodin ; Ran El-Yaniv ; Vincent Gogan
Approximate Expectation Maximization / Tom Heskes ; Onno Zoeter ; Wim Wiegerinck
Linear Response for Approximate Inference / Yee Whye Teh
Semidefinite Relaxations for Approximate Inference on Graphs with Cycles / Martin Wainwright
Approximability of Probability Distributions / Alina Beygelzimer ; Irina Rish
Denoising and Untangling Graphs Using Degree Priors / Quaid D. Morris ; Brendan J. Frey
On the Concentration of Expectation and Approximate Inference in Layered Networks / XuanLong Nguyen
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models / Radford M. Neal ; Matthew J. Beal
Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis / Pedro F. Felzenswalb ; Daniel P. Huttenlocher ; Jon M. Kleinberg
Wormholes Improve Contrastive Divergence / Geoffrey Hinton ; Andriy Mnih
Sample Propagation / Mark A. Paskin
Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data / Amos J Storkey
Laplace Propagation / Alexander Smola ; Vishy Vishwanathan ; Eleazar Eskin
Learning to Find Pre-Images / Goekhan H. Bakir
Semi-Definite Programming by Perceptron Learning / Andriy Kharechko ; John Shawe-Taylor
Computing Gaussian Mixture Models with EM Using Equivalence Constraints / Aharon Bar-Hillel ; Daphna Weinshall
Feature Selection in Clustering Problems / Tilman Lange
An Iterative Improvement Procedure for Hierarchical Clustering / David Kauchak ; Sanjoy Dasgupta
Identifying Structure across Pre-partitioned Data / Zvika Marx ; Ido Dagan ; Eli Shamir
Log-Linear Models for Label Ranking / Ofer Dekel ; Christopher Manning
Minimax Embeddings / Matthew Brand
No Unbiased Estimator of the Variance of K-Fold Cross-Validation / Yves Grandvalet
Bias-Corrected Bootstrap and Model Uncertainty / Harald Steck
Probability Estimates for Multi-Class Classification by Pairwise Coupling / Ting-Fan Wu ; Chih-Jen Lin ; Ruby C. Weng
Necessary Intransitive Likelihood-Ratio Classifiers / Gang Ji ; Jeff Bilmes
Classification with Hybrid Generative/Discriminative Models / Rajat Raina ; Yirong Shen ; Andrew Y. Ng ; Andrew McCallum
A Model for Learning the Semantics of Pictures / Victor Lavrenko ; R. Manmatha ; Jiwoon Jeon
Algorithms for Interdependent Security Games / Michael Kearns ; Luis Ortiz
Applications / Part II:
Fast Embedding of Sparse Similarity Graphs / John C. Platt
GPPS: A Gaussian Process Positioning System for Cellular Networks / Anton Schwaighofer ; Marian Grigoras ; Volker Tresp ; Clemens Hoffmann
An Autonomous Robotic System for Mapping Abandoned Mines / David Ferguson ; Aaron Morris ; Dirk Hahnel ; Christopher Baker ; Zachary Omohundro ; Carlos Reverte ; Scott Thayer ; Charles Whittaker ; William Whittaker ; Wolfram Burgard ; Sebastian Thrun
Semi-supervised Protein Classification Using Cluster Kernels / Christina Leslie ; Andre Elisseeff ; William S. Noble
Statistical Debugging of Sampled Programs / Alice X. Zheng ; Ben Liblit ; Alex Aiken
Markov Models for Automated ECG Interval Analysis / Nicholas P. Hughes ; Lionel Tarassenko ; Stephen J. Roberts
Parameterized Novelty Detectors for Environmental Sensor Monitoring / Cynthia Archer ; Todd K. Leen ; Antonio Baptista
Modeling User Rating Profiles For Collaborative Filtering / Benjamin Marlin
Application of SVMs for Colour Classification and Collision Detection with AIBO Robots / Michael J. Quinlan ; Stephan K. Chalup ; Richard H. Middleton
Kernels for Structured Natural Language Data / Jun Suzuki ; Yutaka Sasaki ; Eisaku Maeda
A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters / Daniel B. Neill
Link Prediction in Relational Data / Ming-Fai Wong ; Pieter Abbeel
Unsupervised Color Decomposition Of Histologically Stained Tissue Samples / Andrew Rabinovich ; Sameer Agarwal ; Casey Laris ; Jeffrey H. Price ; Serge J. Belongie
ICA-based Clustering of Genes from Microarray Expression Data / Su-In Lee ; Serafim Batzoglou
Gene Expression Clustering with Functional Mixture Models / Darya Chudova ; Christopher Hart ; Eric Mjolsness ; Padhraic Smyth
Brain Imaging / Part III:
Reconstructing MEG Sources with Unknown Correlations / Maneesh Sahani ; Srikantan S. Nagarajan
Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales / Saori C. Tanaka ; Kenji Doya ; Go Okada ; Kazutaka Ueda ; Yasumasa Okamoto ; Shigeto Yamawaki
Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects / Xuerui Wang ; Rebecca Hutchinson ; Tom M. Mitchell
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression / Roland Vollgraf ; Michael Scholz ; Ian A. Meinertzhangen ; Klaus Obermayer
Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface / Yu Zhou ; Steven G. Mason ; Gary E. Birch
Increase Information Transfer Rates in BCI by CSP Extension to Multi-class / Guido Dornhege ; Benjamin Blankertz ; Gabriel Curio ; Klaus-Robert Muller
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron / Sung C. Jun ; Barak A. Pearlmutter
Control and Reinforcement Learning / Part IV:
Gaussian Processes in Reinforcement Learning / Malte Kuss
Applying Metric-Trees to Belief-Point POMDPs / Joelle Pineau ; Geoffrey J. Gordon
ARA*: Anytime A* with Provable Bounds on Sub-Optimality / Maxim Likhachev
Approximate Planning in POMDPs with Macro-Actions / Georgios Theocharous ; Leslie Pack Kaelbling
Envelope-based Planning in Relational MDPs / Natalia H. Gardiol
An MDP-Based Approach to Online Mechanism Design / David C. Parkes ; Satinder Singh
Autonomous Helicopter Flight via Reinforcement Learning / H. Jin Kim ; Shankar Sastry
All learning is Local: Multi-agent Learning in Global Reward Games / Yu-Han Chang ; Tracey Ho
How to Combine Expert (and Novice) Advice when Actions Impact the Environment? / Daniela Pucci de Farias ; Nimrod Megiddo
Bounded Finite State Controllers / Pascal Poupart ; Craig Boutilier
Policy Search by Dynamic Programming / J. Andrew Bagnell ; Sham Kakade ; Jeff Schneider
Robustness in Markov Decision Problems with Uncertain Transition Matrices / Arnab Nilim ; Laurent El Ghaoui
Approximate Policy Iteration with a Policy Language Bias / Alan Fern ; Sungwook Yoon ; Robert Givan
A Nonlinear Predictive State Representation / Matthew R. Rudary
Learning Near-Pareto-Optimal Conventions in Polynomial Time / XiaoFeng Wang ; Tuomas Sandholm
Extending Q-Learning to General Adaptive Multi-Agent Systems / Gerald Tesauro
Auction Mechanism Design for Multi-Robot Coordination / Curt Bererton
Distributed Optimization in Adaptive Networks / Ciamac C. Moallemi ; Benjamin Van Roy
Linear Program Approximations for Factored Continuous-State Markov Decision Processes / Milos Hauskrecht ; Branislav Kveton
Cognitive Science and Artificial Intelligence / Part V:
Insights from Machine Learning Applied to Human Visual Classification / Arnulf B. A. Graf ; Felix A. Wichmann
Sensory Modality Segregation / Virginia R. de Sa
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems / Artur S. d'Avila Garcez ; Luis C. Lamb
Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System / Marc Toussaint
An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science / Woojae Kim ; Daniel J. Navarro ; Mark A. Pitt ; In Jae Myung
Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors / D. Philipona ; J.K. O'Regan ; J.-P. Nadal ; Olivier Coenen
From Algorithmic to Subjective Randomness
Unsupervised Context Sensitive Language Acquisition from a Large Corpus / Zach Solan ; David Horn ; Eytan Ruppin ; Shimon Edelman
A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments / Yuuya Sugita ; Jun Tani
Model Uncertainty in Classical Conditioning / Aaron C. Courville ; Nathaniel Daw ; David S. Touretzky
Emerging Technologies / Part VI:
A Low-Power Analog VLSI Visual Collision Detector / Reid R. Harrison
A Recurrent Model of Orientation Maps with Simple and Complex Cells / Paul Merolla ; Kwabena Boahen
A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems / Rock Z. Shi ; Timothy Horiuchi
Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons / Hsin Chen ; Patrice Fleury ; Alan F. Murray
Training a Quantum Neural Network / Bob Ricks ; Dan Ventura
Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses / Adria Bofill-i-Petit
A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors / Masakazu Yagi ; Hideo Yamasaki ; Tadashi Shibata
Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control / Francesco Tenore ; Ralph Etienne-Cummings ; M. Anthony Lewis
A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell / Eric K. C. Tsang ; Bertram E. Shi
Learning Theory / Part VII:
Invited Talk: Message passing in random satisfiability problems / Marc Mezard
Sparseness of Support Vector Machines--Some Asymptotically Sharp Bounds / Ingo Steinwart
An Infinity-sample Theory for Multi-category Large Margin Classification / Tong Zhang
Error Bounds for Transductive Learning via Compression and Clustering / Philip Derbeko ; Ron Meir
Online Learning of Non-stationary Sequences / Claire Monteleoni
On the Dynamics of Boosting / Cynthia Rudin ; Ingrid Daubechies ; Robert Schapire
Boosting versus Covering / Kohei Hatano ; Manfred K. Warmuth
Near-Minimax Optimal Classification with Dyadic Classification Trees / Clayton Scott ; Robert Nowak
PAC-Bayesian Generic Chaining / Jean-Yves Audibert
Self-calibrating Probability Forecasting / Vladimir Vovk ; Glenn Shafer ; Ilia Nouretdinov
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? / David Donoho ; Victoria Stodden
Learning Bounds for a Generalized Family of Bayesian Posterior Distributions
Variational Linear Response / Manfred Opper ; Ole Winther
Geometric Clustering Using the Information Bottleneck Method / Susanne Still
Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates / Peter L. Bartlett ; Jon D. McAuliffe
Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA / David Hoyle ; Magnus Rattray
Approximate Analytical Bootstrap Averages for Support Vector Classifiers / Dorthe Malzahn
Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks / Justin Werfel ; Xiaohui Xie ; H. Sebastian Seung
Ambiguous Model Learning Made Unambiguous with I/f Priors / Gurinder S. Atwal
Information Bottleneck for Gaussian Variables / Gal Chechik ; Amir Globerson ; Naftali Tishby
Measure Based Regularization / Olivier Chapelle ; Matthias Hein
Online Passive-Aggressive Algorithms / Shai Shalev-Shwartz
Margin Maximizing Loss Functions
Neuroscience / Part VIII:
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity / Yuval Aviel ; Moshe Abeles
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons / Thomas Natschlager ; Wolfgang Maass
The Diffusion-Limited Biochemical Signal-Relay Channel / Peter J. Thomas ; Donald J. Spencer ; Sierra K. Hampton ; Peter Park ; Joseph P. Zurkus
Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory / Aaron J. Gruber ; Peter Dayan ; Boris S. Gutkin ; Sara A. Solla
Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans / Nathan A. Dunn ; John S. Conery ; Shawn R. Lockery
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron? / Yoichi Miyawaki ; Masato Okada
Plasticity Kernels and Temporal Statistics / Michael Hausser
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model / Jonathan Pillow ; Liam Paninski ; Eero P. Simoncelli
Design of Experiments via Information Theory
Probabilistic Inference in Human Sensorimotor Processing / Konrad P. Kording ; Daniel Wolpert
Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter / Kazuyuki Samejima ; Yasumasa Ueda ; Minoru Kimura
Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics / Bernd Porr ; Ausra Saudargiene ; Florentin Worgotter
A Probabilistic Model of Auditory Space Representation in the Barn Owl / Brian J. Fischer ; Charles H. Anderson
Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels / Ryan Kelly ; Tai Sing Lee
Prediction on Spike Data Using Kernel Algorithms / Jan Eichhorn ; Andreas Tolias ; Alexander Zien ; Nikos Logothetis
Speech and Signal Processing / Part IX:
Phonetic Speaker Recognition with Support Vector Machines / William M. Campbell ; Joseph P. Campbell ; Douglas A. Reynolds ; Douglas A. Jones ; Timothy R. Leek
A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications / Pedro J. Moreno ; Purdy P. Ho ; Nuno Vasconcelos
Probabilistic Inference of Speech Signals from Phaseless Spectrograms / Kannan Achan
Eigenvoice Speaker Adaptation via Composite Kernel PCA / James T. Kwok ; Brian Mak ; Simon Ho
Predicting Speech Intelligibility from a Population of Neurons / Jeff Bondy ; Ian Bruce ; Suzanna Becker ; Simon Haykin
One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals / Tomohiro Nakatani ; Masato Miyoshi ; Keisuke Kinoshita
A Classification-based Cocktail-party Processor / Nicoleta Roman ; DeLiang Wang ; Guy J. Brown
Visual Processing / Part X:
Local Phase Coherence and the Perception of Blur / Zhou Wang
Nonlinear Processing in LGN Neurons / Vincent Bonin ; Valerio Mante ; Matteo Carandini
A Functional Architecture for Motion Pattern Processing in MSTd / Scott A. Beardsley ; Lucia M. Vaina
Human and Ideal Observers for Detecting Image Curves / A.L. Yuille ; Fang Fang ; Paul Schrater ; Daniel Kersten
Eye Movements for Reward Maximization / Nathan Sprague ; Dana Ballard
Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina / Matthias H. Hennig
Bounded Invariance and the Formation of Place Fields / Reto Wyss ; Paul F. M. J. Verschure
Discriminating Deformable Shape Classes / Salvador Ruiz-Correa ; Linda G. Shapiro ; Marina Meila ; Gabriel Berson
Graphical Model For Recognizing Scenes and Objects / Kevin Murphy ; Antonio Torralba
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence / Amit Gruber
Mutual Boosting for Contextual Inference / Michael Fink ; Pietro Perona
Learning a Rare Event Detection Cascade by Direct Feature Selection / Jianxin Wu ; James M. Rehg ; Matthew D. Mullin
Discriminative Fields for Modeling Spatial Dependencies in Natural Images / Sanjiv Kumar ; Martial Hebert
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation / Leonid Sigal ; Michael Isard ; Benjamin H. Sigelman ; Michael J. Black
Automatic Annotation of Everyday Movements / Deva Ramanan ; David A. Forsyth
Learning Non-Rigid 3D Shape from 2D Motion / Lorenzo Torresani ; Aaron Hertzmann ; Christoph Bregler
Towards Social Robots: Automatic Evaluation of Human-Robot Interaction by Face Detection and Expression Classification / Gwen Littlewort ; Marian S. Bartlett ; Ian Fasel ; Joel Chenu ; Takayuki Kanda ; Hiroshi Ishiguro ; Javier R. Movellan
Salient Boundary Detection using Ratio Contour / Song Wang ; Toshiro Kubota ; Jeffrey Mark Siskind
A Computational Geometric Approach to Shape Analysis in Images / Anuj Srivastava ; Xiuwen Liu ; Washington Mio ; Eric Klassen
A Sampled Texture Prior for Image Super-Resolution / Lyndsey C. Pickup ; Andrew Zisserman
Bayesian Color Constancy with Non-Gaussian Models / Charles Rosenberg ; Alok Ladsariya
An Improved Scheme for Detection and Labelling in Johansson Displays / Claudio Fanti ; Marzia Polito
Index of Authors
Keyword Index
Cognitive Science
Text-Based Information Retrieval Using Exponentiated Gradient Descent
Why did TD-Gammon Work?
Neural Models for Part-Whole Hierarchies
Temporal Low-Order Statistics of Natural Sounds
Reconstructing Stimulus Velocity from Neuronal Responses in Area MT
3D Object Recognition: A Model of View-Tuned Neurons
A Hierarchical Model of Visual Rivalry
Neural Network Models of Chemotaxis in the Nematode Caenorhabditis Elegans
Extraction of Temporal Features in the Electrosensory System of Weakly Electric Fish
A Neural Model of Visual Contour Integration
Learning Exact Patterns of Quasi-synchronization among Spiking Neurons from Data on Multi-unit Recordings
Complex-Cell Responses Derived from Center-Surround Inputs: The Surprising Power of Intradendritic Computation
Orientation Contrast Sensitivity from Long-range Interactions in Visual Cortex
Statistically Efficient Estimations Using Cortical Lateral Connections
An Architectural Mechanism for Direction-tuned Cortical Simple Cells: The Role of Mutual Inhibition
Cholinergic Modulation Preserves Spike Timing Under Physiologically Realistic Fluctuating Input
A Model of Recurrent Interactions in Primary Visual Cortex
Theory
Neural Learning in Structured Parameter Spaces Natural
Riemannian Gradient
For Valid Generalization, the Size of the Weights is More Important than the Size of the Network
Dynamics of Training
Multilayer Neural Networks: One or Two Hidden Layers?
Support Vector Regression Machines
Size of Multilayer Networks for Exact Learning: Analytic Approach
The Effect of Correlated Input Data on the Dynamics of Learning
Practical Confidence and Prediction Intervals
Statistical Mechanics of the Mixture of Experts
MLP Can Probably Generalize Much Better than VC-bounds Indicate
Radial Basis Function Networks and Complexity Regularization in Function Learning
An Apobayesian Relative of Winnow
Noisy Spiking Neurons with Temporal Coding have more Computational Power than Sigmoidal Neurons
On the Effect of Analog Noise in Discrete-Time Analog Computations
A Mean Field Algorithm for Bayes Learning in Large Feed-forward Neural Networks
Removing Noise in On-Line Search using Adaptive Batch Sizes
Are Hopfield Networks Faster than Conventional Computers?
Hebb Learning of Features based on their Information Content
The Generalisation Cost of RAMnets
Learning with Noise and Regularizers in Multilayer Neural Networks
A Variational Principle for Model-based Morphing
Online Learning from Finite Training Sets: An Analytical Case Study
Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing
The Learning Dynamics of a Universal Approximator
Computing with Infinite Networks
Microscopic Equations in Rough Energy Landscape for Neural Networks
Time Series Prediction using Mixtures of Experts
Algorithms and Architecture
Genetic Algorithms and Explicit Search Statistics
Consistent Classification, Firm and Soft
Bayesian Model Comparison by Monte Carlo Chaining
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo
Regression with Input-Dependent Noise: A Bayesian Treatment
GTM: A Principled Alternative to the Self-Organizing Map
The Condensation Algorithm Conditional Density Propagation and Applications to Visual Tracking
Neural Clustering via Concave Minimization
Improving the Accuracy and Speed of Support Vector Machines
Estimating Equivalent Kernels for Neural Networks: A Data Perturbation Approach
Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs
Self-Organizing and Adaptive Algorithms for Generalized Eigen-Decomposition
Representation and Induction of Finite State Machines using Time-Delay Neural Networks
Solutions to the XOR Problem
Minimizing Statistical Bias with Queries
MIMIC: Finding Optima by Estimating Probability Densities
On a Modification to the Mean Field EM Algorithm in Factorial Learning
Softening Discrete Relaxation
Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Adaptively Growing Hierarchical Mixtures of Experts
Balancing Between Bagging and Bumping
LSTM can Solve Hard Long Time Lag Problems
One-unit Learning Rules for Independent Component Analysis
Recursive Algorithms for Approximating Probabilities in Graphical Models
Combinations of Weak Classifiers
Hidden Markov Decision Trees
Unification of Information Maximization and Minimization
Unsupervised Learning by Convex and Conic Coding
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers
Bayesian Unsupervised Learning of Higher Order Structure
Source Separation and Density Estimation by Faithful Equivariant SOM
NeuroScale: Novel Topographic Feature Extraction using RBF Networks
Decomposition, Ordered Classes and Incomplete Examples in Classification
Triangulation by Continuous Embedding
Time-Delay Neural Combining Neural Network Regression Estimates with Regularized Linear Weights
A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data
Learning Bayesian Belief Networks with Neural Network Estimators
Smoothing Regularizers for Projective Basis Function Networks
Competition Among Networks Improves Committee Performance
Adaptive On-line Learning in Changing Environments
Using Curvature Information for Fast Stochastic Search
Maximum Likelihood Blind Source Separation: A Context-Sensitive Generalization of ICA
A Convergence Proof for the Soft assign Quadratic Assignment Algorithm
Second-order Learning Algorithm with Squared Penalty Term
Monotonicity Hints
Training Algorithms for Hidden Markov Models using Entropy Based Distance Models
Clustering Sequences with Hidden Markov Models
Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm
Separating Style and Content
Early Brain Damage
Implementation
VLSI Implementation of Cortical Visual Motion Detection Using an Analog Neural Computer
A Spike Based Learning Neuron in Analog VLSI
An Analog Implementation of the Constant Average Statistics Constraint For Sensor Calibration
Analog VLSI Circuits for Attention-Based, Visual Tracking
Dynamically Adaptable CMOS Winner-Take-AII Neural Network
An Adaptive WTA using Floating Gate Technology
A Micropower Analog VLSI HMM State Decoder for Wordspotting
Bangs, Clicks, Snaps, Thuds and Whacks: An Architecture for Acoustic Transient Processing
A Silicon Model of Amplitude Modulation Detection in the Auditory Brainstem
Speech
Handwriting and Signal Processing Dynamic Features for Visual Speechreading: A Systematic Comparison
Blind Separation of Delayed and Convolved Sources
A Constructive RBF Network for Writer Adaptation
A New Approach to Hybrid HMM/ANN Speech Recognition using Mutual Information Neural Networks
Neural Network Modeling of Speech and Music Signals
A Constructive Learning Algorithm for Discriminant Tangent Models
Dual Kalman Filtering Methods for Nonlinear Prediction, Smoothing and Estimation
Ensemble Methods for Phoneme Classification
Effective Training of a Neural Network Character Classifier for Word Recognition
Viewpoint Invariant Face Recognition using Independent Component Analysis and Attractor Networks
Learning Temporally Persistent Hierarchical Representations
Edges are the "Independent Components" of Natural Scenes
Compositionality, MDL Priors, and Object Recognition
Learning Appearance Based Models: Mixtures of Second Moment Experts
Spatial Decorrelation in Orientation Tuned Cortical Cells
Spatiotemporal Coupling and Scaling of Natural Images and Human Visual Sensitivities
Selective Integration: A Model for Disparity Estimation
ARTEX: A Self-organizing Architecture for Classifying Image Regions
Contour Organisation with the EM Algorithm
Visual Cortex Circuitry and Orientation Tuning
Representing Face Images for Emotion Classification
Rapid Visual Processing using Spike Asynchrony
Interpreting Images by Propagating Bayesian Beliefs
Salient Contour Extraction by Temporal Binding in a Cortically-based Network
An Orientation Selective Neural Network for Pattern Identification in Particle Detectors
Adaptive Access Control Applied to Ethernet Data
Predicting Lifetimes in Dynamically Allocated Memory
Multi-Task Learning for Stock Selection
The Neurothermostat: Predictive Optimal Control of Residential Heating Systems
Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches
A Comparison between Neural Networks and other Statistical Techniques for Modeling the Relationship between Tobacco and Alcohol and Cancer
Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
Spectroscopic Detection of Cervical Pre-Cancer through Radial Basis Function Networks
Interpolating Earth-science Data using RBF Networks and Mixtures of Experts
Multi-effect Decompositions for Financial Data Modeling
Control, Navigation and Planning
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Efficient Nonlinear Control with Actor-Tutor Architecture
Local Bandit Approximation for Optimal Learning Problems
Reinforcement Learning for Mixed Open-loop and Closed-loop Control
Multi-Grid Methods for Reinforcement Learning in Controlled Diffusion Processes
Learning from Demonstration
Exploiting Model Uncertainty Estimates for Safe Dynamic Control Learning
Analytical Mean Squared Error Curves in Temporal Difference Learning
Learning Decision Theoretic Utilities through Reinforcement Learning
On-line Policy Improvement using Monte-Carlo Search
Analysis of Temporal-Difference Learning with Function Approximation
Approximate Solutions to Optimal Stopping Problems
Contributors
Direction Selectivity in Primary Visual Cortex Using Massive Intracortical Connections
On the Computational Utility of Consciousness
Catastrophic Interference in Human Motor Learning
Grammar Learning by a Self-Organizing Network
Patterns of Damage in Neural Networks: The Effects of Lesion Area, Shape and Number
Forward Dynamic Models in Human Motor Control Psychophysical Evidence
A Solvable Connectionist Model of Immediate Recall of Ordered Lists
A Model for Chemosensory Reception
The Electronic Transformation: A Tool for Relating Neuronal Form to Function
A Model of the Hippocampus Combining Self-Organization and Associative Memory Function
A Model of Biological Neuron as a Temporal Neural Network
A Critical Comparison of Models for Orientation and Ocular Dominance Columns in the Striate Cortex
A Novel Reinforcement Model of Birdsong Vocalization Learning
Ocular Dominance and Patterned Lateral Connections in a Self-Organizing Model of the Primary Visual Cortex
Anatomical Origin and Computational Role of Diversity in the Response Properties of Cortical Neurons
Reinforcement Learning Predicts the Site of Plasticity for Auditory Remapping in the Barn Owl
Morphogenesis of the Lateral Geniculate Nucleus: How Singularities Affect Global Structure
A Computational Model of Prefrontal Cortex Function
A Neural Model of Delusions and Hallucinations in Schizophrenia
Spatial Representations in the Parietal Cortex May Use Basis Functions
Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex
A Model of the Neural Basis of the Rat's Sense Of Direction
Learning Theory and Dynamics
On the Computational Complexity of Networks of Spiking Neurons
H∞
Optimal Training Algorithms and Their Relation to Back Propagation
Synchrony and Desynchrony in Neural Oscillator Networks
Learning in Large Linear Perceptrons and Why the Thermodynamic Limit Is Relevant to the Real World
Generalisation in Feedforward Networks
From Data Distributions to Regularization in Invariant Learning
Neural Network Ensembles, Cross Validation, and Active Learning
Limits on Learning Machine Accuracy Imposed by Data Quality
Higher Order Statistical Decorrelation without Information Loss
Hyperparameters, Evidence and Generalisation for an Unrealisable Rule
Temporal Dynamics of Generalization in Neural Networks
Stochastic Dynamics of Three-State Neural Networks
Learning Stochastic Perceptrons under K-Blocking Distributions
Learning from Queries for Maximum Information Gain in Imperfectly Learnable Problems
Bias, Variance and the Combination of Least Squares Estimators
On-Line Learning of Dichotomies
Dynamic Modelling of Chaotic Time Series with Neural Networks
A Rigorous Analysis of Linsker-Type Hebbian Learning
Sample Size Requirements for Feedforward Neural Networks
Asymptotics of Gradient-Based Neural Network Training Algorithms
Reinforcement Learning
Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems
Advantage Updating Applied to a Differential Game
Reinforcement Learning with Soft State Aggregation
Generalization in Reinforcement Learning: Safely Approximating the Value Function
Instance-Based State Identification for Reinforcement Learning
Finding Structure in Reinforcement Learning
Reinforcement Learning Methods for Continuous-Time Markov Decision Problems
An Actor/Critic Algorithm that Is Equivalent to Q-Learning
Financial Applications of Learning from Hints (Invited Paper)
Combining Estimators Using Non-Constant Weighting Functions
An Input Output HMM Architecture
Boltzmann Chains and Hidden Markov Models
Bayesian Query Construction for Neural Network Models
Using a Saliency Map for Active Spatial Selective Attention: Implementation & Initial Results
Multidimensional Scaling and Data Clustering
A Non-Linear Information Maximisation Algorithm that Performs Blind Separation
Plasticity-Mediated Competitive Learning
Phase-Space Learning
Learning Local Error Bars for Nonlinear Regression
Dynamic Cell Structures
Extracting Rules from Artificial Neural Networks with Distributed Representations
Capacity and Information Efficiency of a Brain-Like Associative Net
Boosting the Performance of RBF Networks with Dynamic Decay Adjustment
Simplifying Neural Nets BY Discovering Flat Minima
Learning with Product Units
Deterministic Annealing Variant of the EM Algorithm
Diffusion of Credit in Markovian Models
Factorial Learning by Clustering Features
Interior Point Implementations of Alternating Minimization Training
SARDNET: A Self-Organizing Feature Map for Sequences
Convergence Properties of the K-Means Algorithms
Active Learning for Function Approximation
Analysis of Unstandardized Contributions in Cross Connected Networks
Template-Based Algorithms for Connectionist Rule Extraction
Factorial Learning and the EM Algorithm
A Growing Neural Gas Network Learns Topologies
An Alternative Model for Mixtures of Experts
Estimating Conditional Probability Densities for Periodic Variables
Effects of Noise on Convergence and Generalization in Recurrent Networks
Learning Many Related Tasks at the Same Time with Backpropagation
A Rapid Graph-Based Method for Arbitrary Transformation-Invariant Pattern Classification
Recurrent Networks: Second Order Properties and Pruning
Classifying with Gaussian Mixtures and Clusters
Efficient Methods for Dealing with Missing Data in Supervised Learning
An Experimental Comparison of Recurrent Neural Networks
Active Learning with Statistical Models
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures
Direct Multi-Step Time Series Prediction Using TD(λ)
Implementations
ICEG Morphology Classification Using an Analogue VLSI Neural Network
A Silicon Axon
The NI1000: High Speed Parallel VLSI For Implementing Multilayer Perceptrons
A Real Time Clustering CMOS Neural Engine
Pulsestream Synapses with Non-Volatile Analogue Amorphous-Silicon Memories
A Lagrangian Formulation for Optical Backpropagation Training in Kerr-Type Optical Networks
A Charge-Based CMOS Parallel Analog Vector Quantizer
An Auditory Localization and Coordinate Transform Chip
An Analog Neural Network Inspired by Fractal Block Coding
A Study of Parallel Perturbative Gradient Descent
Implementation of Neural Hardware with the Neural VLSI of Uran in Applications with Reduced Representations
Single Transistor Learning Synapses
Pattern Playback in the '90S (Invited Paper)
Non-Linear Prediction of Acoustic Vectors Using Hierarchical Mixtures of Experts
GLOVE-TALKII: Mapping Hand Gestures to Speech Using Neural Networks
Visual Speech Recognition with Stochastic Networks
Hierarchical Mixtures of Experts Methodology Applied to Continuous Speech Recognition
Connectionist Speaker Normalization with Generalized Resource Allocating Networks
Using Voice Transformations to Create Additional Training Talkers for Word Spotting
A Comparison of Discrete-Time Operator Models for Nonlinear System Identification
Learning Saccadic Eye Movements Using Multiscale Spatial Filters
A Convolutional Neural Network Hand Tracker
Correlation and Interpolation Networks for Real-Time Expression Analysis/Synthesis
Learning Direction in Global Motion: Two Classes of Psychophysically-Motivated Models
Associative Decorrelation Dynamics: A Theory of Self-Organization and Optimization in Feedback Networks
JPMAX: Learning to Recognize Moving Objects as a Model-Fitting Problem
PCA-Pyramids for Image Compression
Unsupervised Classification of 3D Objects from 2D Views
New Algorithms for 2D And 3D Point Matching: Pose Estimation and Correspondence
Using a Neural Net to Instantiate a Deformable Model
Nonlinear Image Interpolation Using Manifold Learning
Coarse-to-Fine Image Search Using Neural Networks
Transformation Invariant Autoassociation with Application to Handwritten Character Recognition
Learning Prototype Models for Tangent Distance
Real-Time Control of Tokamak Plasma Using Neural Networks
Recognizing Handwritten Digits Using Mixtures of Linear Models
Optimal Movement Primitives
An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems
A Connectionist Technique for Accelerated Textual Input: Letting a Network Do the Typing
Predictive Coding with Neural Nets: Application to Text Compression
Predicting the Risk of Complications in Coronary Artery Bypass Operations Using Neural Networks
Comparing the Prediction Accuracy of Artificial Neural Networks and Other Statistical Models for Breast Cancer Survival
Learning to Play the Game of Chess
A Mixture Model System for Medical and Machine Diagnosis
Inferring Ground Truth from Subjective Labelling of Venus Images
The Use of Dynamic Writing Information in a Connectionist On-Line Cursive Handwriting Recognition System
Adaptive Elastic Input Field for Recognition Improvement
Pairwise Neural Network Classifiers with Probabilistic Outputs
Interference in Learning Internal Models of Inverse Dynamics in Humans
Computational Structure of Coordinate Transformations: A Generalization Study
Author Index
Contents
Donors
NIPS foundation
Committees
Learning first-order Markov models for control / Andrew Ng
A Large Deviation Bound for the Area Under the ROC Curve / Shivani Agarwal ; Dan Roth
Learning Preferences for Multiclass Problems / Fabio Aiolli ; Alessandro Sperduti
Harmonising Chorales by Probabilistic Inference / Moray Allan
The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces / Dragomir Anguelov ; Praveen Srinivasan ; Hoi-Cheung Pang ; James Davis
A Direct Formulation for Sparse PCA Using Semidefinite Programming / Alexandre d'Aspremont ; Gert R. G. Lanckriet
Comparing Beliefs, Surveys, and Random Walks / Erik Aurell ; Uri Gordon ; Scott Kirkpatrick
The power of feature clustering: An application to object detection / Shai Avidan ; Moshe Butman
Blind One-microphone Speech Separation: A Spectral Learning Approach
Computing regularization paths for learning multiple kernels / Romain Thibaux
Breaking SVM Complexity with Cross-Training / Gokhan H. Bakir
Co-Training and Expansion: Towards Bridging Theory and Practice / Maria-Florina Balcan ; Avrim Blum ; Ke Yang
Large-Scale Prediction of Disulphide Bond Connectivity / Pierre Baldi ; Jianlin Cheng ; Alessandro Vullo
Spike Sorting: Bayesian Clustering of Non-Stationary Data / Adam Spiro ; Eran Stark
Exponentiated Gradient Algorithms for Large-margin Structured Classification / Michael Collins ; David A. McAllester
Maximising Sensitivity in a Spiking Network / Anthony J. Bell ; Lucas Parra
Non-Local Manifold Tangent Learning / Martin Monperrus
Who's in the Picture / Tamara L. Berg ; Alexander C. Berg ; Jaety Edwards ; David Forsyth
At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks / Nils Bertschinger ; Robert Legenstein
A Second Order Cone programming Formulation for Classifying Missing Data / Chiranjib Bhattacharyya ; Pannagadatta K. Shivaswamy ; Alex Smola
Support Vector Classification with Input Data Uncertainty / Jinbo Bi
Responding to Modalities with Different Latencies / Fredrik Bissmarck ; Hiroyuki Nakahara ; Okihide Hikosaka
Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis / Tobias Blaschke ; Laurenz Wiskott
Hierarchical Distributed Representations for Statistical Language Modeling / John Blitzer ; Kilian Weinberger ; Lawrence Saul ; Fernando C. N. Pereira
Markov Networks for Detecting Overlapping Elements in Sequence Data / Joseph Bockhorst ; Mark Craven
Reducing Spike Train Variability: A Computational Theory Of Spike-Timing Dependent Plasticity / Sander. M. Bohte ; Michael C Mozer
Convergence and No-Regret in Multiagent Learning / Michael Bowling
Dependent Gaussian Processes / Phillip Boyle ; Marcus Frean
Proximity Graphs for Clustering and Manifold Learning / Miguel A. Carreira-Perpinan ; Richard S. Zemel
Incremental Algorithms for Hierarchical Classifications / Nicolo Cesa-Bianchi ; Andrea Tironi ; Luca Zaniboni
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation / Shantanu Chakrabartty ; Gert Cauwenberghs
A Machine Learning Approach to Conjoint Analysis / Zaid Harchaoui
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) / Kumar Chellapilla ; Patrice Y. Simard
Hierarchical Eigensolver for Transition Matrices in Spectral Methods / Chakra Chennubhotla ; Allan Jepson
Modeling Conversational Dynamics as a Mixed-Memory Markov Process / Tanzeem Choudhury ; Sumit Basu
Theories of Access Consciousness / Michael D. Colagrosso
Distributed Information Regularization on Graphs / Adrian Corduneanu
Confidence Intervals for the Area Under the ROC Curve
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account / Nathaniel D. Daw
Trait Selection for Assessing Beef Meat Quality Using Non-linear SVM / Juan Jose del Coz ; Gustavo F. Bayon ; Jorge Diez ; Oscar Luaces ; Antonio Bahamonde ; Carlos Sanudo
Semigroup Kernals on Finite Sets / Marco Cuturi ; Jean-Philippe Vert
Analysis of a greedy active learning strategy
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Bayesian inference in spiking neurons / Sophie Deneve
Triangle Fixing Algorithms for the Metric Nearness Problem / Inderjit S. Dhillon ; Suvrit Sra ; Joel Tropp
Pictorial Structures for Molecular Modeling: Interpreting Density Maps / Frank DiMaio ; Jude Shavlik ; George Phillips
Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units / Eizaburo Doi ; Michael S. Lewicki
Making Latin Manuscripts Searchable using gHMM's / Roger Bock ; Michael Maire ; Grace Vesom
Seeing through Water / Alexei Efros ; Volkan Isler ; Jianbo Shi ; Mirko Visontai
Experts in a Markov Decision Process / Eyal Even-Dar ; Yishay Mansour
Exploration-Exploitation Tradeoffs for Experts Algorithms in Reactive Environments
A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees
Learning Hyper-Features for Visual Identification / Andras D. Ferencz ; Erik G. Learned-Miller ; Jitendra Malik
Sampling Methods for Unsupervised Learning / Rob Fergus
On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks / Miguel Figueroa ; Seth Bridges ; Chris Diorio
Object Classification from a Single Example Utilizing Class Relevance Metrics
A Hidden Markov Model for de Novo Peptide Sequencing / Jonas Grossmann ; Sacha Baginsky ; Wilhelm Gruissem ; Franz Roos ; Peter Widmayer
Implicit Wiener Series for Higher-Order Image Analysis / Matthias O. Franz
Joint Probabilistic Curve Clustering and Alignment / Scott J. Gaffney
Discriminant Saliency for Visual Recognition from Cluttered Scenes / Dashan Gao
Instance-Based Relevance Feedback for Image Retrieval / Giorgio Giacinto ; Fabio Roli
Euclidean Embedding of Co-Occurrence Data
Hierarchical Clustering of a Mixture Model / Jacob Goldberger
Neighbourhood Components Analysis / Ruslan Salakhutdinov
Parallel Support Vector Machines: The Cascade SVM / Hans-Peter Graf ; Eric Cosatto ; Igor Dourdanovic ; Vladimir Vapnik
Semi-Supervised Learning by Entropy Minimization
Integrating Topics and Syntax / Mark Steyvers ; David M. Blei
Result Analysis of the NIPS 2003 Feature Selection Challenge / Isabelle Guyon ; Steve Gunn ; Asa Ben-Hur ; Gideon Dror
Theory of localized synfire chain: characteristic propagation speed of stable spike pattern / Kosuke Hamaguchi ; Kazuyuki Aihara
The Entire Regulation Path for the Support Vector Machine / Robert Tibshirani
An Auditory Paradigm for Brain-Computer Interfaces / N. Jeremy Hill ; Karin Bierig ; Niels Birbaumer
The Cerebellum Chip: an Analog VLSI Implementation of a Cerebellar Model of Classical Conditioning / Constanze Hofstoetter ; Manuel Gil ; Kynan Eng ; Giacomo Indiveri ; Matti Mintz ; Jorg Kramer ; Paul F.M.J. Verschure
Schema Learning: Experience-Based Construction of Predictive Action Models / Michael P. Holmes ; Charles Lee Isbell, Jr.
Unsupervised Variational Bayesian Learning of Nonlinear Models / Antti Honkela ; Harri Valpola
A Generalized Bradley-Terry Model: From Group Competition to Individual Skill / Tzu-Kuo Huang
Message Errors in Belief Propagation / John W. Fisher
Parametric Embedding for Class Visualization / Tomoharu Iwata ; Kazumi Saito ; Naonori Ueda
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernal Feature Space / Robert Jenssen ; Deniz Erdogmus ; Jose C. Principe ; Torbjorn Eltoft
Economic Properties of Social Networks / Robin Pemantle ; Siddharth Suri
Online Bounds for Bayesian Algorithms
Maximal Margin Labeling for Multi-Topic Text Categorization / Hideto Kazawa ; Tomonori Izumitani ; Hirotoshi Taira
Generalization Error and Algorithmic Convergence of Median Boosting / Balazs Kegl
Boosting on Manifolds: Adaptive Regularization of Base Classifiers / Ligen Wang
Face Detection -- Efficient and Rank Deficient / Wolf Kienzle
Neural Networks Computation by In Vitro Transcriptional Circuits / Jongmin Kim ; John Hopfield ; Erik Winfree
Synchronization of neural networks by mutual learning and its application to cryptography / Einat Klein ; Rachel Mislovaty ; Ido Kanter ; Andreas Ruttor ; Wolfgang Kinzel
Nearly Tight Bounds for the Continuum-Armed Bandit Problem / Robert D. Kleinberg
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging / Vladimir Koltchinski ; Manel Martinez-Ramon ; Stefan Posse
Newscast EM / Wojtek Kowalczyk
On Semi-Supervised Classification / Balaji Krishnapuram ; David Williams ; Ya Xue ; Alexander Hartemink ; Lawrence Carin ; Mario Figueiredo
An Application of Boosting to Graph Classification / Taku Kudo ; Yuji Matsumoto
Methods Towards Invasive Human Brain Computer Interfaces / Thilo Hinterberger ; Guido Widman ; Michael Schroder ; Wolfgang Rosenstiel ; Christian E. Elger
Beat Tracking the Graphical Model Way / Dustin Lang ; Nando de Freitas
Semi-supervised Learning via Gaussian Processes
Joint MRI Bias Removal Using Entropy Minimization Across Images / Parvez Ahammad
Rate- and Phase-coded Autoassociative Memory / Mate Lengyel
Maximum Likelihood Estimation of Intrinsic Dimension / Elizaveta Levina ; Peter J. Bickel
Planning for Markov Decision Processes with Sparse Stochasticity / Geoff Gordon
Incremental Learning for Visual Tracking / Jongwoo Lim ; David A, Ross ; Ruei-Sung Lin ; Ming-Hsuan Yang
Adaptive Discriminative Generative Model and Its Applications
Bayesian Regularization and Nonnegative Deconvolution for Time Delay Estimation / Yuanqing Lin ; Daniel D. Lee
Multiple Alignment of Continuous Time Series / Jennifer Listgarten ; Andrew Emili
An Investigation of Practical Approximate Nearest Neighbor Algorithms
Mistake Bounds for Maximum Entropy Discrimination / Phillip M. Long ; Xinyu Wu
A Three Tiered Approach for Articulated Object Action Modeling and Recognition / Le Lu ; Gregory D. Hager ; Laurent Younes
Semi-supervised Learning with Penalized Probabilistic Clustering / Zhengdong Lu
Limits of Spectral Clustering / Ulrike de Luxburg ; Mikhail Belkin
Methods for Estimating the Computational Power and Generalization Capability of Neural Microcircuits
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms / Omid Madani ; David M. Pennock ; Gary William Flake
PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data / Mario Marchand ; Mohak Shah
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters / Tim K. Marks ; John Hershey ; J. Cooper Roddey
Linear Multilayer Independent Component Analysis for Large Natural Scenes / Yoshitatsu Matsuda ; Kazunori Yamaguchi
Conditional Models of Identity Uncertainty with Application to Noun Coreference / Ben Wellner
Multiple Relational Embedding / Roland Memisevic
Kernels for Multi--task Learning / Charles A. Micchelli ; Massimiliano Pontil
A Topographic Support Vector Machine: Classification Using Local Label Configurations / Johannes Mohr
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity / Marcelo A. Montemurro ; Stefano Panzeri
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks / Joris M. Mooij ; Hilbert J. Kappen
Common-Frame Model for Object Recognition / Pierre Moreels
Optimal sub-graphical models / Mukund Narasimhan
Detecting Significant Multidimensional Spatial Clusters / Francisco Pereira ; Tom Mitchell
Stable adaptive control with online learning
Mass Meta-analysis in Talairach Space / Finn Arup Nielsen
A Harmonic Excitation State-Space Approach to Blind Separation of Speech / Rasmus Kongsgaard Olsson ; Lars Kai Hansen
Expectation Consistent Free Energies for Approximate Inference
Discrete profile alignment via constrained information bottleneck / Sean O'Rourke ; Robin Friedman
Synergistic Face Detection and Pose Estimation with Energy-Based Models / Margarita Osadchy ; Matthew L. Miller ; Yann LeCun
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Variational Minimax Estimation of Discrete Distributions under KL Loss
Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution / Hyun Jin Park ; Te-Won Lee
Approximately Efficient Online Mechanism Design / Satinder P. Singh ; Dimah Yanovsky
Efficient Out-of-Sample Extension of Dominant-Set Clusters / Massimiliano Pavan ; Marcello Pelillo
A Feature Selection Algorithm Based on the Global Minimization of a Generalization Error Bound / Dori Peleg
Active Learning for Anomaly and Rare-Category Detection / Dan Pelleg
VDCBPI: an Approximate Scalable Algorithm for Large POMDPs / Pascal PouPart
New Criteria and a New Algorithm for Learning in Multi-Agent Systems / Rob Powers ; Yoav Shoham
Conditional Random Fields for Object Recognition / Ariadna Quattoni ; Trevor Darrell
Chemosensory Processing in a Spiking Model of the Olfactory Bulb: Chemotopic Convergence and Center Surround Inhibition / Baranidharan Raman ; Ricardo Gutierrez-Osuna
Hierarchical Bayesian Inference in Networks of Spiking Neurons / Rajesh P. N. Rao
An Information Maximization Model of Eye Movements / Walker Renninger ; James M. Coughlan ; Preeti Verghese
Brain Inspired Reinforcement Learning / Francois Rivest ; John Kalaska
Coarticulation in Markov Decision Processes / Khashayar Rohanimanesh ; Robert Platt ; Sridhar Mahadevan ; Roderic Grupen
Learning, Regularization and Ill-Posed Inverse Problems / Lorenzo Rosasco ; Andrea Caponnetto ; Ernesto De Vito ; Francesca Odone ; Umberto de Giovannini
Following Curved Regularized Optimization Solution Paths
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning / Hui Zou
Outlier Detection with One-class Kernel Fisher Discriminants
Semi-parametric Exponential Family PCA / Sajama ; Alon Orlitsky
Semi-Markov Conditional Random Fields for Information Extraction / Sunita Sarawagi ; William W. Cohen
Kernel Methods for Implicit Surface Modeling / Joachim Giesen ; Simon Spalinger
Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid / Felix Schurmann ; Karlheinz Meier ; Johannes Schemmel
Learning Gaussian Process Kernels via Hierarchical Bayes / Kai Yu
Assignment of Multiplicative Mixtures in Natural Images / Odelia Schwartz ; Terrence J. Sejnowski
On the Adaptive Properties of Decision Trees
Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization / Fei Sha
Probabilistic Inference of Alternative Splicing Events in Microarray Data / Ofer Shai ; Qun Pan ; Christine Misquitta ; Benjamin J. Blencowe
Resolving Perceptual Aliasing In The Presence Of Noisy Sensors / Guy Shani ; Ronen I. Brafman
Algebraic Set Kernels with Application to Inference Over Local Image Representations / Amnon Shashua ; Tamir Hazan
Dynamic Bayesian Networks for Brain-Computer Interfaces / Pradeep Shenoy
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities / Lavi Shpigelman ; Rony Paz ; Eilon Vaadia
Intrinsically Motivated Reinforcement Learning / Andrew G. Barto ; Nuttapong Chentanez
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters / Evan Smith
Learning Syntactic Patterns for Automatic Hypernym Discovery / Rion Snow ; Daniel Jurafsky
Surface Reconstruction using Learned Shape Models / Jan Erik Solem ; Fredrik Kahl
Using the Equivalent Kernel to Understand Gaussian Process Regression / Peter Sollich
Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices / Noga Alon
Maximum-Margin Matrix Factorization / Jason D. M. Rennie
Density Level Detection is Classification / Don Hush ; Clint Scovel
Fast Rates to Bayes for Kernel Machines
Modelling Uncertainty in the Game of Go / David H. Stern ; David J. C. MacKay
Constraining a Bayesian Model of Human Visual Speed Perception / Alan Stocker
Distributed Occlusion Reasoning for Tracking with Nonparametric Belief Propagation / Michael Mandel
Temporal-Difference Networks / Richard S. Sutton ; Brian Tanner
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
Heuristics for Ordering Cue Search in Decision Making / Peter M. Todd ; Anja Dieckmann
Contextual Models for Object Detection Using Boosted Random Fields / Kevin P. Murphy
Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model / Taro Toyoizumi ; Jean-Pascal Pfister ; Wulfram Gerstner
Synergies between Intrinsic and Synaptic Plasticity in Individual Model Neurons / Jochen Triesch
Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection
Supervised Graph Inference / Yoshihiro Yamanishi
Binet-Cauchy Kernels / S. V. N. Vishwanathan
Instance-Specific Bayesian Model Averaging for Classification / Shyam Visweswaran ; Gregory F. Cooper
Saliency-Driven Image Acuity Modulation on a Reconfigurable Array of Spiking Silicon Neurons / R. Jacob Vogelstein ; Udayan Mallik ; Eugenio Culurciello
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale / Haidong Wang ; Eran Segal ; Douglas L. Brutlag
Adaptive Manifold Learning / Jing Wang ; Zhenyue Zhang ; Hongyuan Zha
Exponential Family Harmoniums with an Application to Information Retrieval / Michal Rosen-Zvi
Machine Learning Applied to Perception: Decision Images for Gender Classification / Heinrich H. Bulthoff
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data / Oliver M. C. Williams ; Andrew Blake ; Roberto Cipolla
Generative Affine Localisation and Tracking / John Winn
L_0-norm Minimization for Basis Selection / Bhaskar D. Rao
Multi-agent Cooperation in Diverse Population Games / K. Y. M. Wong ; S. W. Lim ; Z. Gao
Efficient Kernel Discriminant Analysis via QR Decomposition / Tao Xiong ; Jieping Ye ; Qi Li ; Ravi Janardan ; Vladimir Cherkassky
Maximum Margin Clustering / Linli Xu ; James Neufeld ; Bryce Larson ; Dale Schuurmans
Using Random Forests in the Structured Language Model / Peng Xu ; Frederick Jelinek
Solitaire: Man Versus Machine / Xiang Yan ; Persi Diaconis ; Paat Rusmevichientong
Efficient Kernel Machines Using the Improved Fast Gauss Transform / Changjiang Yang ; Ramani Duraiswami ; Larry Davis
Two-Dimensional Linear Discriminant Analysis
Inference, Attention, and Decision in a Bayesian Neural Architecture / Angela J. Yu
The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters / Alan Yuille
The Convergence of Contrastive Divergences
Self-Tuning Spectral Clustering / Lihi Zelnik-Manor
Probabilistic Computation in Spiking Populations / Quentin J. M. Huys ; Rama Natarajan
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection / Jian Zhang ; Yiming Yang
Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification
Semi-supervised Learning on Directed Graphs
Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning / Xiaojin Zhu ; John Lafferty
Kernel Projection Machine: a New Tool for Pattern Recognition / Laurent Zwald ; Regis Vert ; Gilles Blanchard ; Pascal Massart
Subject Index
Learning the Structure of Similarity
A Model of Spatial Representations in Parietal Cortex Explains Hemineglect
Human Reading and the Curse of Dimensionality
Extracting Tree-structured Representations of Trained Networks
Harmony Networks Do Not Work
Dynamics of Attention as Near Saddle-node Bifurcation Behavior
Rapid Quality Estimation of Neural Network Input Representations
A Model of Auditory Streaming
Modeling Interactions of the Rat's Place and Head Direction Systems
Correlated Neuronal Response: Time Scales and Mechanisms
Information through a Spiking Neuron
Reorganization of Somatosensory Cortex after Tactile Training
A Dynamical Model of Context Dependencies for the Vestibulo-Ocular Reflex
The Role of Activity in Synaptic Competition at the Neuromuscular Junction
When Is an Integrate-and-fire Neuron like a Poisson Neuron?
How Perception Guides Production in Birdsong Learning
The Geometry of Eye Rotations and Listing's Law
Temporal Coding in the Submillisecond Range: Model of Barn Owl Auditory Pathway
Cholinergic Suppression of Transmission May Allow Combined Associative Memory Function and Self-organization in the Neocortex
A Predictive Switching Model of Cerebellar Movement Control
Independent Component Analysis of Electroencephalographic Data
Simulation of a Thalamocortical Circuit for Computing Directional Heading in the Rat
Plasticity of Center-Surround Opponent Receptive Fields in Real and Artificial Neural Systems of Vision
Learning Model Bias
Statistical Theory of Overtraining -- Is Cross-Validation Asymptotically Effective?
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split
Learning with Ensembles: How Overfitting Can Be Useful
Neural Networks with Quadratic VC Dimension
Sample Complexity for Learning Recurrent Perceptron Mappings
On the Computational Power of Noisy Spiking Neurons
A Realizable Learning Task Which Exhibits Overfitting
Stable Dynamic Parameter Adaptation
Estimating the Bayes Risk from Sample Data
Recursive Estimation of Dynamic Modular RBF Networks
On Neural Networks with Minimal Weights
Modern Analytic Techniques to Solve the Dynamics of Recurrent Neural Networks
Implementation Issues in the Fourier Transform Algorithm
Generalisation of a Class of Continuous Neural Networks
Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks
Optimization Principles for the Neural Code
Strong Unimodality and Exact Learning of Constant Depth 5-Perceptron Networks
Active Learning in Multilayer Perceptrons
Dynamics of On-line Gradient Descent Learning for Multilayer Neural Networks
Worst-case Loss Bounds for Single Neurons
Exponentially Many Local Minima for Single Neurons
Adaptive Back-Propagation in On-line Learning of Multilayer Networks
Optimizing Cortical Mappings
Quadratic-type Lyapunov Functions for Competitive Neural Networks with Different Time-scales
Examples of Learning Curves from a Modified VC-formalism
Bayesian Methods for Mixtures of Experts
Some Results on Convergent Unlearning Algorithm
Geometry of Early Stopping in Linear Networks
Absence of Cycles in Symmetric Neural Networks
Adaptive Mixture of Probabilistic Transducers
REMAP: Recursive Estimation and Maximization of A Posteriori Probabilities -- Application to Transition-based Connectionist Speech Recognition
Recurrent Neural Networks for Missing or Asynchronous Data
Family Discovery
Discriminant Adaptive Nearest Neighbor Classification and Regression
Clustering Data through an Analogy to the Potts Model
Generalized Learning Vector Quantization
Stochastic Hillclimbing as a Baseline Method for Evaluating Genetic Algorithms
Symplectic Nonlinear Component Analysis
A Unified Learning Scheme: Bayesian-Kuilback Ying-Yang Machine
Universal Approximation and Learning of Trajectories Using Oscillators
A Smoothing Regularizer for Recurrent Neural Networks
EM Optimization of Latent-Variable Density Models
Factorial Hidden Markov Models
Boosting Decision Trees
Exploiting Tractable Substructures in Intractable Networks
Hierarchical Recurrent Neural Networks for Long-term Dependencies
Discovering Structure in Continuous Variables Using Bayesian Networks
Using Pairs of Data Points to Define Splits for Decision Trees
Gaussian Processes for Regression
Pruning with Generalization Based Weight Saliencies: ?OBD, ?OBS
Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks
Generating Accurate and Diverse Members of a Neural-network Ensemble
Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging
Explorations with the Dynamic Wave Model
The Capacity of a Bump
Tempering Backpropagation Networks: Not All Weights Are Created Equal
Investment Learning with Hierarchical PSOMS
Learning Long-term Dependencies Is Not as Difficult with NARX Networks
Constructive Algorithms for Hierarchical Mixtures of Experts
An Information-theoretic Learning Algorithm for Neural Network Classification
A Practical Monte Carlo Implementation of Bayesian Learning
From Isolation to Cooperation: An Alternative View of a System of Experts
Finite State Automata that Recurrent Cascade-Correlation Cannot Represent
SPERT-II: A Vector Microprocessor System and Its Application to Large Problems in Backpropagation Training
Softassign versus Softmax: Benchmarks in Combinatorial Optimization
A Multiscale Attentional Framework for Relaxation Neural Networks
Is Learning the n-th Thing Any Easier Than Learning the First?
Using Unlabeled Data for Supervised Learning
Learning Sparse Perceptrons
Does the Wake-sleep Algorithm Produce Good Density Estimators?
Improved Silicon Cochlea Using Compatible Lateral Bipolar Transistors
Adaptive Retina with Center-Surround Receptive Field
Neuron-MOS Temporal Winner Search Hardware for Fully-parallel Data Processing
Analog VLSI Processor Implementing the Continuous Wavelet Transform
Silicon Models for Auditory Scene Analysis
VLSI Model of Primate Visual Smooth Pursuit
Model Matching and SFMD Computation
Parallel Analog VLSI Architectures for Computation of Heading Direction and Time-to-contact
Onset-based Sound Segmentation
Laterally Interconnected Self-organizing Maps in Handwritten Digit Recognition
Forward-backward Retraining of Recurrent Neural Networks
Context-dependent Classes in a Hybrid Recurrent Network-HMM Speech Recognition System
A New Learning Algorithm for Blind Signal Separation
Handwritten Word Recognition Using Contextual Hybrid Radial Basis Function Network/Hidden Markov Models
Selective Attention for Handwritten Digit Recognition
OCR Alphanumeric Handprint Module
The Gamma MLP for Speech Phoneme Recognition
Vision
A Framework for Nonrigid Matching and Correspondence
Control of Selective Visual Attention: Modeling the "Where" Pathway
Unsupervised Pixel-prediction
Learning to Predict Visibility and Invisibility from Occlusion Events
Classifying Facial Action
Modeling Saccadic Targeting in Visual Search
A Model of Transparent Motion and Non-transparent Motion Aftereffects
A Neural Network Model of 3-D Lightness Perception
Empirical Entropy Manipulation for Real-world Problems
Active Gesture Recognition Using Learned Visual Attention
Seemore: A View-based Approach to 3-D Object Recognition Using Multiple Visual Cues
Human Face Detection in Visual Scenes
Improving Committee Diagnosis with Resampling Techniques
Primitive Manipulation Learning with Connectionism
Beating a Defender in Robotic Soccer: Memory-based Learning of a Continuous Function
Visual Gesture-based Robot Guidance with a Modular Neural System
A Novel Channel Selection System in Cochlear Implants Using Artificial Neural Network
Prediction of Beta Sheets in Proteins
A Neural Network Autoassociator for Induction Motor Failure Prediction
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence
A Neural Network Classifier for the I1000 OCR Chip
Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control
Optimal Asset Allocation Using Adaptive Dynamic Programming
Using the Future to "Sort Out" the Present: Rankprop and Multitask Learning for Medical Risk Evaluation
Stock Selection via Nonlinear Multi-factor Models
Experiments with Neural Networks for Real Time Implementation of Control
High-speed Airborne Particle Monitoring Using Artificial Neural Networks
Control
A Dynamical Systems Approach for a Learnable Autonomous Robot
Parallel Optimization of Motion Controllers via Policy Iteration
Learning Fine Motion by Markov Mixtures of Experts
Neural Control for Nonlinear Dynamic Systems
Improving Elevator Performance Using Reinforcement Learning
High-performance Job-Shop Scheduling with a Time-delay TD(?) Network
Competence Acquisition in an Autonomous Mobile Robot Using Hardware Neural Techniques
Generalization in Reinforcement Learning: Successful Examples Using Sparse Coarse Coding
Stable Linear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions
Stable Fitted Reinforcement Learning
Improving Policies without Measuring Merits
Memory-based Stochastic Optimization
Temporal Difference in Learning in Continuous Time and Space
Reinforcement Learning by Probability Matching
NIPS Foundation
Learning vehicular dynamics, with application to modeling helicopters / Varun Ganapathi
Policy-Gradient Methods for Planning / Douglas Aberdeen
Kernelized Infomax Clustering
Large-scale biophysical parameter estimation in single neurons via constrained linear regression / Misha Ahrens
Maximum Margin Semi-Supervised Learning for Structured Variables / Yasemin Altun
Large scale networks fingerprinting and visualization using the k-core decomposition / J. Ignacio Alvarez-Hamelin ; Luca Dall'Asta ; Alain Barrat ; Alessandro Vespignani
Fast Information Value for Graphical Models / Brigham Anderson ; Andrew Moore
A Cortically-Plausible Inverse Problem Solving Method Applied to Recognizing Static and Kinematic 3D Objects / David Arathorn
Combining Graph Laplacians for Semi-Supervised Learning / Andreas Argyriou ; Mark Herbster
Learning in Silicon: Timing is Everything
On Local Rewards and Scaling Distributed Reinforcement Learning
Bayesian models of human action understanding / Chris Baker ; Josh Tenenbaum ; Rebecca Saxe
The Curse of Highly Variable Functions for Local Kernel Machines
Non-Local Manifold Parzen Windows / Hugo Larochelle
Convex Neural Networks / Patrice Marcotte
Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction / Masashi Sugiyama ; Motoaki Kawanabe ; Vladimir Spokoiny
From Weighted Classification to Policy Search / Doron Blatt ; Alfred Hero
Correlated Topic Models
Saliency Based on Information Maximization / Neil Bruce ; John Tsotsos
Active Learning For Identifying Function Threshold Boundaries / Brent Bryan ; Robert Nichol ; Christopher Miller ; Christopher Genovese ; Larry Wasserman
Subsequence Kernels for Relation Extraction / Razvan Bunescu ; Raymond J. Mooney
Faster Rates in Regression via Active Learning / Rui Castro ; Rebecca Willett
Gradient Flow Independent Component Analysis in Micropower VLSI / Abdullah Celik ; Milutin Stanacevic
Improved risk tail bounds for on-line algorithms
Layered Dynamic Textures / Antoni Chan
Size Regularized Cut for Data Clustering / Yixin Chen ; Ya Zhang ; Xiang Ji
Learning from Data of Variable Quality / Jennifer Wortman
Efficient estimation of hidden state dynamics from spike trains
Coarse sample complexity bounds for active learning
Norepinephrine and Neural Interrupts
Fast Krylov Methods fo N-Body Learning / Yang Wang ; Maryam Mahdaviani
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget
Data-Driven Online to Batch Conversations
Beyond Gaussian Processes: On the Distributions of Infinite Networks / Ricky Der ; Daniel Lee
Generalized Nonnegative Matrix Approximations with Bregman
An Application of Markov Random Fields to Range Sensing / James Diebel
Transfer Learning for text classification / Chuong Do
A Theoretical Analysis of Robust Coding over Noisy Overcomplete / Doru C. Balcan
Optimizing spatio-temporal filters for improving Brain-Computer Interfacing / Matthias Krauledat ; Florian Losch
Correcting sample selection bias in maximum entropy density estimation
Searching for Character Models
Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps / Austin Eliazar ; Parr Ronald
Learning to Control an Octopus Arm with Gaussian Process Temporal Difference Models / Yaakov Engel ; Peter Szabo ; Dmitry Volkinshtein
Two view learning: SVM-2K, Theory and Practice / Jason D. R. Farquhar ; David R. Hardoon ; Hongying Meng ; Sandor Szedmak
Robust design of biological experiments / Patrick Flaherty ; Michael Jordan ; Adam Arkin
Pattern Recognition from One Example by Chopping / Francois Fleuret
Mixture Modeling by Affinity Propagation / Delbert Dueck
Statistical Convergence of Kernel CCA
Learning Rankings via Convex Hull Separation / Glenn M. Fung ; Romer Rosales
A Connectionist Model for Constructive Modal Reasoning / Dov Gabbay
Large-Scale Multiclass Transduction
Products of "Edge-perts" / Peter Gehler
Fast biped walking with a reflexive controller and real-time policy searching / Tao Geng
Bayesian Sets / Katherine Heller
Query by Committee Made Real / Ran Gilad-Bachrach ; Amir Navot
Metric Learning by Collapsing Classes
Interpolating between types and tokens by estimating power-law generators / Sharon Goldwater ; Mark Johnson
A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification
Infinite latent feature models and the Indian buffet process
Computing the Solution Path for the Regularized Support Vector Regression / Lacey Gunther
Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs / Firas Hamze
Tensor Subspace Analysis / Deng Cai
Laplacian Score for Feature Selection
Inferring Motor Programs from Images of Handwritten Digits / Vinod Nair
Response Analysis of Neuronal Population with Synaptic Depression / Wentao Huang ; Licheng Jiao ; Shan Tan ; Maoguo Gong
Non-iterative Estimation with Perturbed Gaussian Markov Processes / Yunsong Huang ; B. Keith Jenkins
Learning Cue-Invariant Visual Responses / Jarmo Hurri
Bayesian Surprise Attracts Human Attention / Laurent Itti
Efficient Estimation of OOMs / Herbert Jaeger ; Mingjie Zhao ; Andreas Kolling
Representing Part-Whole Relationships in Recurent Neural Networks / Viren Jain ; Valentin Zhigulin
A Probabilistic Approach for Optimizing Spectral Clustering / Rong Jin ; Chris Ding ; Feng Kang
Walk-Sum Interpretation and Analysis of Gaussian Belief Propagation / Jason Johnson ; Dmitry Malioutov
Using "epitomes" to model genetic diversity: Rational design of HIV vaccine cocktails / Nebojsa Jojic ; Vladimir Jojic ; Christopher Meek ; David Heckerman
Integrate-and-Fire models with adaptation are good enough / Renaud Jolivet ; Alexander Rauch ; Hans-Rudolf Luscher
Generalization Error Bounds for Aggregation by Mirror Descent with Averaging / Anatoli Juditsky ; Alexander Nazin ; Alexandre Tsybakov ; Nicolas Vayatis
From Batch to Transductive Online Learning / Adam Kalai
Worst-Case Bounds for Gaussian Process Models / Matthias W. Seeger ; Dean P. Foster
Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification / Ashish Kapoor ; Hyungil Ahn ; Rosalind W. Picard
Is Early Vision Optimized for Extracting Higher-order Dependencies? / Yan Karklin
A matching pursuit approach to sparse Gaussian process regression / S. Sathiya Keerthi ; Wei Chu
Benchmarking Non-Parametric Statistical Tests / Mikaela Keller ; Siew Yeung Wong
Robust Fisher Discriminant Analysis / Seung-Jean Kim ; Alessandro Magnani ; Stephen Boyd
Measuring Shared Information and Coordinated Activity in Neuronal Networks / Kristina Klinkner ; Cosma Shalizi ; Marcelo Camperi
Inference with Minimal Communication: a Decision-Theoretic Variational Approach / O. Patrick Kreidl
Generalization in Clustering with Unobserved Features / Eyal Krupka
Variable KD-Tree Algorithms for Spatial Pattern Search and Discovery / Jeremy Kubica ; Joseph Masiero ; Robert Jedicke ; Andrew Connolly
Assessing Approximations for Gaussian Process Classification
Rodeo: Sparse Nonparametric Regression in High Dimensions
Fixing two weaknesses of the Spectral Method / Kevin Lang
Fusion of Similarity Data in Clustering
A PAC-Bayes approach to the Set Covering Machine / Francois Laviolette
Off-Road Obstacle Avoidance through End-to-End Learning / Urs Muller ; Jan Ben ; Beat Flepp
Dual-Tree Fast Gauss Transforms / Dongryeol Lee
CMOL CrossNets: Possible Neuromorphic Nanoelectronic Circuits / Jung Hoon Lee ; Xiaolong Ma ; Konstantin Likharev
A Criterion for the Convergence of Learning with Spike Timing Dependent Plasticity
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches / Ann Levina ; Michael Herrmann
From Lasso regression to Feature vector machine / Fan Li ; Eric Xing
Location-based activity recognition / Lin Liao ; Dieter Fox ; Henry Kautz
Radial Basis Function Network for Multi-task Learning / Xuejun Liao
Asymptotics of Gaussian Regularized Least Squares / Ross Lipert ; Ryan Rifkin
Efficient Unsupervised Learning for Localization and Detection in Object Categories / Nicolas Loeff ; Himanshu Arora ; Alexander Sorokin
Convergence and Consistency of Regularized Boosting Algorithms with Stationary ss-Mixing Observations
Ideal Observers for Detecting Motion: Correspondence Noise / Hongjing Lu
Principles of real-time computing with feedback applied to cortical microcircuit models / Prashant Joshi ; Eduardo D. Sontag
Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions / Mauro Maggioni
Noise and the two-thirds power Law / Uri Maoz ; Elon Portugaly ; Tamar Flash
Modeling Memory Transfer and Saving in Cerebellar Motor Learning / Naoki Masuda
An exploration-exploitation model based on norepinepherine and dopamine activity / Samuel McClure ; Mark Gilzenrat ; Jonathan D. Cohen
Online Discovery and Learning of Predictive State Representations / Peter McCracken
An Alternative Infinite Mixture of Gaussian Process Experts / Edward Meeds ; Simon Osindero
Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments / Keiji Miura
Concensus Propagation
Context as Filtering / Daichi Mochihashi
Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms / Baback Moghaddam
Top-Down Control of Visual Attention: A Rational Account / Michael Shettel ; Shaun P. Vecera
Rate Distortion Codes in Sensor Networks / Tatsuto Murayama ; Peter Davis
Gaussian Processes for Multiuser Detection in CDMA receivers
Nested sampling for Potts models / Ian Muray ; David MacKay ; John Skilling
Diffusion Maps, Spectral Clustering and Eigenfunctions of Fokker-Planck Operators / Boaz Nadler ; Stephane Lafon ; Ronald Coifman ; Ioannis Kevrekidis
Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity / Srikantan Nagarajan ; Hagai Attias ; Kenneth Hild ; Kensuke Sekihara
An Analog Visual Pre-Processing Processor Employing Cyclic Line Access in Only-Nearest-Neighbor-Interconnects Achitecture / Yusuke Nakashita ; Yoshio Mita
Q-Clustering
Optimal cue selection strategy / Vidhya Navalpakkam
Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity
A Bayesian Spatial Scan Statistic
Divergences, surrogate loss functions and experimental design / AnLong Nguyen ; Martin J. Wainwright
How fast to work: Response vigor, motivation and tonic dopamine / Yael Niv
Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction / Guido Nolte ; Andreas Ziehe ; Frank Meinecke
An Approximate Inference Approach for the PCA Reconstruction Error
Bayesian model learning in human visual perception / Gergo Orban ; Jozsef Fiser ; Richard N. Aslin
Spiking Inputs to a Winner-take-all Network / Matthias Oster ; Shih-Chii Liu
Variational EM Algorithms for Non-Gaussian Latent Variable Models / Kenneth Kreutz-Delgado
Nonparametric inference of prior probabilities from Bayes-optimal behavior
Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI / Ofer Pasternak ; Nir Sochen ; Nathan Intrator ; Yaniv Assaf
Beyond Pair-Based STDP: a Phenomenological Rule for Spike Triplet and Frequency Effects
Scaling Laws in Natural Scenes and the Inference of 3D Shape
Off-policy Learning with Options and Recognizers / Brian Potetz ; Cosmin Paduraru ; Anna Koop ; Doina Precup
Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization / Maxim Raginsky ; Svetlana Lazebnik
Preconditioner Approximations for Probabilistic Graphical Models / Pradeep Ravikumar
Cue Integration for Figure/Ground Labeling / Xiaofeng Ren ; Charless Fowlkes
Generalization to Unseen Cases / Teemu Roos ; Peter D. Grunwald ; Petri Myllymaki ; Henry Tirri
Visual Encoding with Jittering Eyes / Michele Rucci
Dynamic Social Network Analysis using Latent Space Models / Purnamrita Sarkar
Logic and MRF Circuitry for Labeling Occluding and Thinline Visual Contours / Eric Saund
Learning Depth from Single Monocular Images / Ashutosh Saxena ; Sung H. Chung
Identifying Distributed Object Representations in Human Extrastriate Visual Cortex / Rory Sayres ; David Ress ; Kalanit Grill-Spector
On the Accuracy of Bounded Rationality: How Far from Optimal Is Fast and Frugal? / Michael Schmitt ; Laura Martignon
Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation / Nicol N. Schraudolph ; Jin Yu
The Information-Form Data Association Filter / Brad Schumitsch ; Gary Bradski ; Kunle Olukotun
A Bayesian Framework for Tilt Perception and Confidence / Terrence Sejnowski
Learning Minimum Volume Sets
AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems
Fast Gaussian Process Regression using KD-Trees
Learning Shared Latent Structure for Image Synthesis and Robotic Imitation / Aaron Shon ; Keith Grochow
Selecting Landmark Points for Sparse Manifold Learning
Conditional Visual Tracking in Kernel Space / Cristian Sminchisescu ; Atul Kanaujia ; Zhiguo Li ; Dimitri Metaxas
Sparse Gaussian Processes using Pseudo-inputs
Phase Synchrony Rate for the Recognition of Motor Imagery in Brain-Computer Interface / Le Song ; Evian Gordon ; Elly Gysels
A General and Efficient Multiple Kernel Learning Algorithm
Prediction and Change Detection / Scott Brown
Sensory Adaptation within a Bayesian Framework for Perception
Describing Visual Scenes using Transformed Dirichlet Processes / William Freeman
Active Learning for Misspecified Models
Temporal
Abstraction in Temporal-difference Networks / Eddie Rafols
Sequence and Tree Kernels with Statistical Feature Mining / Hideki Isozaki
Silicon growth cones map silicon retina / Brian Taba
Temporally changing synaptic plasticity / Minija Tamosiunaite
Structured Prediction via the Extragradient Method / Simon Lacoste-Julien
Affine Structure From Sound
Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares / Jo-Anne Ting ; Aaron D'Souza ; Kenji Yamamoto ; Toshinori Yoshioka ; Donna L. Hoffman ; Shinji Kakei ; Lauren Sergio ; Mitsuo Kawato ; Peter L. Strick ; Stefan Schaal
Generalization error bounds for classifiers trained with interdependent data / Nicolas Usunier ; Massih-Reza Amini ; Patrick Gallinari
TD(0) Leads to Better Policies than Approximate Value Iteration
An aVLSI Cricket Ear Model / Andre Van Schaik ; Richard Reeve ; Craig Jin ; Tara Hamilton
Goal-Based Imitation as Probabilistic Inference over Graphical Models / Deepak Verma
Kernels for gene regulatory regions / Robert A. F. Thurman ; William Stafford Noble
Consistency of one-class SVM and related algorithms
Multiple Instance Boosting for Object Detection / Paul Viola ; John Platt ; Cha Zhang
Estimating the wrong Markov random field: Benefits in the computation-limited setting
Recovery of Jointly Sparse Signals from Few Random Projections / Michael Wakin ; Marco Duarte ; Shriram Sarvotham ; Dror Baron ; Richard G. Baraniuk
Gaussian Pocess Dynamical Models / Jack Wang ; David Fleet
Group and Topic Discovery from Relations and Their Attributes / Natasha Mohanty
A Bayes Rule for Density Matrices
Variational Bayesian Stochastic Complexity of Mixture Models / Kazuho Watanabe ; Sumio Watanabe
Distance Metric Learning for Large Margin Nearest Neighbor Classification
Analyzing Auditory Neurons by Learning Distance Functions / Inna Weiner ; Israel Nelken
Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games / Gabriel Y. Weintraub ; C. Lanier Benkard
Active Bidirectional Coupling in a Cochlear Chip / Bo Wen
Neural mechanisms of contrast dependent receptive field size in V1 / Jim Wielaard ; Paul Sajda
Factorial Switching Kalman Filters for Condition Monitoring in Neonatal Intensive Care / John Quinn ; Neil McIntosh
Comparing the Effects of Different Weight Distributions on Finding Sparse Representations
Message passing for task redistribution on sparse graphs / David Saad ; Zhuo Gao
Modeling Neural Population Spiking Activity with Gibbs Distributions / Frank Wood ; Stefan Roth ; Michael Block
Extracting Dynamical Structure Embedded in Neural Activity / Byron Yu ; Afsheen Afshar ; Gopal Santhanam ; Stephen I. Ryu ; Krishna V. Shenoy
Soft Clustering on Graphs / Shipeng Yu
Augmented Rescorla-Wagner and Maximum Likelihood Estimation
The Role of Top-down and Bottom-up Processes in Guiding Eye Movements during Visual Search / Gregory Zelinsky ; Wei Zhang ; Bing Yu ; Xin Chen ; Dimitris Samaras
Learning Influence among Interacting Markov Chains / Dong Zhang ; Deb Roy ; Daniel Gatica-Perez
Learning Multiple Related Tasks using Latent Independent Component Analysis
Modeling Neuronal Interactivity using Dynamic Bayesian Networks / Lei Zhang ; Nelly Alia-Klein ; Nora Volkow ; Rita Goldstein
Analysis of Spectral Kernel Design based Semi-supervised Learning / Rie Ando
A Computational Model of Eye Movements during Object Class Detection / Hyejin Yang
Separation of Music Signals by Harmonic Structure Modeling / Yun-Gang Zhang ; Chang-Shui Zhang
A Domain Decomposition Method for Fast Manifold Learning
A Hierarchical Compositional System for Rapid Object Detection / Long Zhu
Cyclic Equilibria in Markov Games / Martin Zinkevich ; Amy Greenwald ; Michael L. Littman
On the Convergence of Eigenspacesin Kernel Principal Component Analysis
Preface
NIPS Committees
Reviewers
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