Invited Talk (Abstracts) |
Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges / Shai Ben-David |
Are We Three Yet? / Nello Cristianini |
The Growing Semantic Web / Mark Greaves |
Privacy in Web Search Query Log Mining / Rosie Jones |
Highly Multilingual News Analysis Applications / Ralf Steinberger |
Machine Learning Journal Abstracts |
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification / Weiwei Cheng ; Eyke Hüllermeier |
On Structured Output Training: Hard Cases and an Efficient Alternative / Thomas Gärtner ; Shankar Vembu |
Spares Kernel SVMs via Cutting-Plane Training / Thorsten Joachims ; Chun-Nam John Yu |
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation / Jeff Johns ; Marek Petrik ; Sridhar Mahadevan |
A Self-training Approach to Cost Sensitive Uncertainty Sampling / Alexander Liu ; Goo Jan ; Joydeep Ghosh |
Learning Multi-linear Representations of Distributions for Efficient Inference / Dan Roth ; Rajhans Samdani |
Cost-Sensitive Learning Based on Bregman Divergences / Raúl Santos-Rodríguez ; Alicia Guerrero-Curieses ; Rocío Alaiz-Rodríguez ; Jesús Cid-Sueiro |
Data Mining and Knowledge Discovery Journal Abstracts |
RTG: A Recursive Realistic Graph Generator Using Random Typing / Leman Akoglu ; Christos Faloutsos |
Taxonomy-Driven Lumping for Sequence Mining / Francesco Bonchi ; Carlos Castillo ; Debora Donato ; Aristides Gionis |
On Subgroup Discovery in Numerical Domains / Henrik Grosskreutz ; Stefan Rüping |
Harnessing the Strengths of Anytime Algorithms for Constant Data streams / Philipp Kranen ; Thomas Seidl |
Identifying the Components / Matthijs van Leeuwen ; Jilles Vreeken ; Arno Siebes |
Two-Way Analysis of High-Dimensional Collinear Data / Ilkka Huopaniemi ; Tommi Suvitaival ; Janne Nikkilä ; Matej OreÜič ; Samuel Kaski |
A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process / Qiang-Li Zhao ; Yan-Huang Jiang ; Ming Xu |
Regular Papers |
Evaluation Measures for Multi-class Subgroup Discovery / Tarek Abudawood ; Peter Flach |
Empirical Study of Relational Learning Algorithms in the Phase Transition Framework / Erick Alphonse ; Aomar Osmani |
Topic Significance Ranking of LDA Generative Models / Loulwah AlSumait ; Daniel Barbará ; James Gentle ; Carlotta Domeniconi |
Communication-Efficient Classification in P2P Network / Hock Hee Ang ; Vivekanand Gopalkrishnan ; Wee Keong Ng ; Steven Hoi |
A Generalization of Forward-Backward Algorithm / Ai Azuma ; Yuji Matsumoto |
Mining Graph Evolution Rules / Michele Berlingerio ; Björn Bringmann |
Parallel subspace Sampling for Particle Filtering in Dynamic Bayesian Networks / Eva Besada-Portas ; Sergey M. Plis ; Jesus M. de la Cruz ; Terran Lane |
Adaptive XML Tree Classification on Evolving Data Streams / Albert Bifet ; Ricard Gavaldà |
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time / Mirko Boettcher ; Martin Spott ; Rudolf Kruse |
Non-redundant Subgroup Discovery Using a Closure System / Mario Boley |
PLSI: The True Fisher Kernel and beyond: IID Processes, Information Matrix and Model Identification in PLSI / Jean-Cédric Chappelier ; Emmanuel Eckard |
Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization / Yanhua Chen ; Lijun Wang ; Ming Dong |
One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs / Michal Aharon ; Gilad Barash ; Ira Cohen ; Eli Mordechai |
Conference Mining via Generalized Topic Modeling / Alt Daud ; Juanzi Li ; Lizhu Zhou ; Faqir Muhammad |
Within-Network Classification Using Local Structure Similarity / Christian Desrosiers ; George Karypis |
Multi-task Feature Selection Using the Multiple Inclusion Criterioz (MIC) / Paramveer S. Dhillon ; Brian Tomasik ; Dean Foster ; Lyle Ungar |
Kernel Polytope Faces Pursuit / Tom Diethe ; Zakria Hussain |
Soft Margin Trees / Jorge Díez ; Juan José del Coz ; Antonio Bahamonde ; Oscar Luaces |
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs / Huyen Do ; Alexandros Kalousis ; Melanie Hilario |
Margin and Radius Based Multiple Kernel Learning / Adam Woznica |
Inference and Validation of Networks / Mas N. Plaounas ; Marco Turchi ; Tijl De Bie |
Binary Decomposition Methods for Multipartite Ranking / Johannes Fürmkranz ; Stijn Vanderlooy |
Leveraging Higher Order Dependencies between Features for Text Classification / Murat C. Ganiz ; Nikita I. Lytkin ; William M. Pottenger |
Syntactic Structural Kernels for Natural Language Interfaces to Databases / Alessandra Giordani ; Alessandro Moschitti |
Active and Semi-supervised Data Domain Description / Nico Görnitz ; Marius Kloft ; Ulf Brefeld |
A Matrix Factorization Approach for Integrating Multiple Data Views / Derek Greene ; Pádraig Cunningham |
Transductive Classification via Dual Regularization / Quanquan Gu ; Jie Zhou |
Stable and Accurate Feature Selection / Gokhan Gulgezen ; Zehra Cataltepe ; Lei Yu |
Efficient Sample Reuse in EM-Based Policy Search / Hirotaka Hachiya ; Jan Peters ; Masashi Sugiyama |
Applying Electromagnetic Field Theory Concepts to Clustering with Constraints / Huseyin Hakkoymaz ; Georgios Chatzimilioudis ; Dimitrios Gunopulos ; Heikki Mannila |
An l1 Regularization Framework for Optimal Rule Combination / Yanjun Han ; Jue Wang |
A Generic Approach to Topic Models / Gregor Heinrich |
Feature Selection by Transfer Learning with Linear Regularized Models / Thibault Helleputte ; Pierre Dupont |
Integrating Logical Reasoning and Probabilistic Chain Graphs / Arjen Hommersom ; Nivea Ferreira ; Peter J.F. Lucas |
Max-Margin Weight Learning for Markov Logic Networks / Tuyen N. Huynh ; Raymond J. Mooney |
Parameter-Free Hierarchical Co-clustering by n-Ary Splits / Dino lenco ; Ruggero G. Pensa ; Rosa Meo |
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts / Daisuke Ikeda ; Einoshin Suzuki |
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks / Takashi Isozaki ; Maomi Ueno |
Kernel-Based Copula Processes / Sebastian Jaimungal ; Eddie K.H. Ng |
Compositional Models for Reinforcement Learning / Nicholas K. Jong ; Peter Stone |
Feature Selection for Value Function Approximation Using Bayesian Model Selection / Tobias Jung |
Learning Preferences with Hidden Common Cause Relations / Kristian Kersting ; Zhao Xu |
Feature Selection for Density Level-Sets / Shinichi Nakajima |
Efficient Multi-start Strategies for Local Search Algorithms / Levente Kocsis ; András György |
Considering Unseen States as Impossible in Factored Reinforcement Learning / Olga Kozlova ; Olivier Sigaud ; Pierre-Henri Wuillemin ; Christophe Meyer |
Relevance Grounding for Planning in Relational Domains / Tobias Lang ; Marc Toussaint |
Author Index |
Invited Talk (Abstracts) |
Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges / Shai Ben-David |
Are We Three Yet? / Nello Cristianini |