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1.

図書

図書
Osamu Watanabe, Takashi Yokomori (eds.)
出版情報: Berlin : Springer, c1999  xi, 363 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1720 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Invited Lectures
Tailoring Representations to Different Requirements / Katharina Morik
Theoretical Views of Boosting and Applications / Robert E. Schapire
Extended Stochastic Complexity and Minimax Relative Loss Analysis / Kenji Yamanishi
Regular Contributions
Neural Networks
Algebraic Analysis for Singular Statistical Estimation / Sumio Watanabe
Generalization Error of Linear Neural Networks in Unidentifiable Cases / Kenji Fukumizu
The Computational Limits to the Cognitive Power of the Neuroidal Tabula Rasa / Jiri Wiedermann
Learning Dimension
The Consistency Dimension and Distribution-Dependent Learning from Queries / José L. Balcázar ; Jorge Castro ; David Guijarro ; Hans-Ulrich Simon
The VC-Dimension of Subclasses of Pattern Languages / Andrew Mitchell ; Tobias Scheffer ; Arun Sharma ; Frank Stephan
Inductive Inference / Theodoros Evgeniou ; Massimiliano Pontil
On the Strength of Incremental Learning / Steffen Lange ; Gunter Grieser
Learning from Random Text / Peter Rossmanith
Inductive Learning with Corroboration / Phil Watson
Inductive Logic Programming
Flattening and Implication / Kouichi Hirata
Induction of Logic Programs Based on ?-Terms / Yutaka Sasaki
Complexity in the Case Against Accuracy: When Building One Function-Free Horn Clause Is as Hard as Any / Richard Nock
A Method of Similarity-Driven Knowledge Revision for Type Specifications / Nobuhiro Morita ; Makoto Haraguchi ; Yoshiaki Okubo
PAC Learning
PAC Learning with Nasty Noise / Nader H. Bshouty ; Nadav Eiron ; Eyal Kushilevitz
Positive and Unlabeled Examples Help Learning / Francesco De Comité ; François Denis ; Rémi Gilleron ; Fabien Letouzey
Learning Real Polynomials with a Turing Machine / Dennis Cheung
Mathematical Tools for Learning
A Note on Support Vector Machine Degeneracy / Carlos Domingo ; Ryan Rifkin ; Alessandro Verri
Learning Recursive Functions
Learnability of Enumerable Classes of Recursive Functions from "Typical" Examples / Jochen Nessel
On the Uniform Learnability of Approximations to Non-recursive Functions / Thomas Zeugmann
Query Learning
Learning Minimal Covers of Functional Dependencies with Queries / Montserrat Hermo ; Victor Lavin
Boolean Formulas Are Hard to Learn for Most Gate Bases / Víctor Dalmau
Finding Relevant Variables in PAC Model with Membership Queries / Jun Tarui ; Tatsuie Tsukiji
On-Line Learning
General Linear Relations among Different Types of Predictive Complexity / Yuri Kalnishkan
Predicting Nearly as Well as the Best Pruning of a Planar Decision Graph / Eiji Takimoto ; Manfred K. Warmuth
On Learning Unions of Pattern Languages and Tree Patterns / Sally A. Goldman ; Stephen S. Kwek
Author Index
Invited Lectures
Tailoring Representations to Different Requirements / Katharina Morik
Theoretical Views of Boosting and Applications / Robert E. Schapire
2.

図書

図書
Michael M. Richter... [et al.], (eds.)
出版情報: Berlin ; Tokyo : Springer, c1998  xi, 438 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1501 . Lecture notes in artificial intelligence
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Editors' Introduction / M.M. Richter ; C.H. Smith ; R. Wiehagen ; T. Zeugmann
Inductive Logic Programming and Data Mining
Scalability Issues in Inductive Logic Programming (Invited Lecture) / S. Wrobel
Inductive Inference
Learning to Win Process-Control Games Watching Game-Masters / J. Case ; M. Ott ; A. Sharma ; F. Stephan
Closedness Properties in EX-identification of Recursive Functions / K. Apsitis ; R. Freivalds ; R. Simanovskis ; J. Smotrovs
Learning via Queries
Lower Bounds for the Complexity of Learning Half-Spaces with Membership Queries / V.N. Shevchenko ; N.Yu. Zolotykh
Cryptographic Limitations on Parallelizing Membership and Equivalence Queries with Applications to Random Self-Reductions / M. Fischlin
Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries / G. Melideo ; S. Varricchio
Computational Aspects of Parallel Attribute-Efficient Learning / P. Damaschke
PAC Learning from Positive Statistical Queries / F. Denis
Prediction Algorithms
Structured Weight-Based Prediction Algorithms (Invited Lecture) / A. Maruoka ; E. Takimoto
Inductive Logic Programming
Learning from Entailment of Logic Programs with Local Variables / M.K.R. Krishna Rao ; A. Sattar
Logical Aspects of Several Bottom-Up Fittings / A. Yamamoto
Learnability of Translations from Positive Examples / N. Sugimoto
Analysis of Case-Based Representability of Boolean Functions by Monotone Theory / K. Satoh
Learning Formal Languages
Locality, Reversibility, and Beyond: Learning Languages from Positive Data / T. Head ; S. Kobayashi ; T. Yokomori
Synthesizing Learners Tolerating Computable Noisy Data / S. Jain
Characteristic Sets for Unions of Regular Pattern Languages and Compactness / M. Sato ; Y. Mukouchi ; D. Zheng
Finding a One-Variable Pattern from Incomplete Data / H. Sakamoto
A Fast Algorithm for Discovering Optimal String Patterns in Large Text Databases / H. Arimura ; A. Wataki ; R. Fujino ; S. Arikawa
A Comparison of Identification Criteria for Inductive Inference of Recursive Real-Valued Functions / E. Hirowatari
Predictive Learning Models for Concept Drift / S. Kaufmann
Learning with Refutation
Comparing the Power of Probabilistic Learning and Oracle Identification under Monotonicity Constraints / L. Meyer
Learning Algebraic Structures from Text Using Semantical Knowledge / Y. Ventsov
Lime: A System for Learning Relations (Invited Lecture) / E. McCreath
Miscellaneous
On the Sample Complexity for Neural Trees / M. Schmitt
Learning Sub-classes of Monotone DNF on the Uniform Distribution / K.A. Verbeurgt
Using Attribute Grammars for Description of Inductive Inference Search Space / U. Sarkans ; J. BarzdinÜ
Towards the Validation of Inductive Learning Systems / G. Grieser ; K.P. Jantke ; S. Lange
Consistent Polynomial Identification in the Limit / W. Stein
Author Index
Editors' Introduction / M.M. Richter ; C.H. Smith ; R. Wiehagen ; T. Zeugmann
Inductive Logic Programming and Data Mining
Scalability Issues in Inductive Logic Programming (Invited Lecture) / S. Wrobel
3.

図書

図書
Setsuo Arikawa, Arun K. Sharma, (eds.)
出版情報: Berlin ; New York ; Tokyo : Springer, c1996  xvii, 336 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1160 . Lecture notes in artificial intelligence
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4.

図書

図書
Setsuo Arikawa, Klaus P. Jantke, (eds.)
出版情報: Berlin ; New York : Springer-Verlag, c1994  xiv, 573 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 872 . Lecture notes in artificial intelligence
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5.

図書

図書
Nicolò Cesa-Bianchi, Masayuki Numao, Rüdiger Reischuk (eds.)
出版情報: Berlin ; Tokyo : Springer, c2002  xi, 413 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2533 . Lecture notes in artificial intelligence
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6.

図書

図書
Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto (eds.)
出版情報: Berlin ; Tokyo : Springer, c2003  xi, 312 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2842 . Lecture notes in artificial intelligence
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7.

図書

図書
Naoki Abe, Roni Khardon, Thomas Zeugmann (eds.)
出版情報: Berlin ; New York : Springer, c2001  xi, 377 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 2225 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
EditorsÆ Introduction / N. Abe ; R. Khardon ; T. Zeugmann
Invited Papers
The Discovery Science Project in Japan / S. Arikawa
Queries Revisited / D. Angluin
Robot Baby 2001 / P.R. Cohen ; T. Oates ; N. Adams ; C.R. Beal
Discovering Mechanisms: A Computational Philosophy of Science Perspective / L. Darden
Inventing Discovery Tools: Combining Information Visualization with Data Mining / B. Shneiderman
Complexity of Learning
On Learning Correlated Boolean Functions Using Statistical Queries / K. Yang
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm / K. Hatano
Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard / J. &Scron;ima
Support Vector Machines
Learning of Boolean Functions Using Support Vector Machines / K. Sadohara
A Random Sampling Technique for Training Support Vector Machines (For Primal-Form Maximal-Margin Classifiers) / J. Balcázar ; Y. Dai ; O. Watanabe
New Learning Models
Learning Coherent Concepts / A. Garg ; D. Roth
Learning Intermediate Concepts / S.S. Kwek
Real-Valued Multiple-Instance Learning with Queries / D.R. Dooly ; S.A. Goldman
Online Learning
Loss Functions, Complexities, and the Legendre Transformation / Y. Kalnishkan ; M.V. Vyugin ; V. Vovk
Non-linear Inequalities between Predictive and Kolmogorov Complexities / V.V. V'yugin
Inductive Inference
Learning by Switching Type of Information / S. Jain ; F. Stephan
Learning How to Separate
Learning Languages in a Union / Y.K. Ng ; T.S. Tay
On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes / S. Zilles
Refutable Inductive Inference
Refutable Language Learning with a Neighbor System / Y. Mukouchi ; M. Sato
Learning Recursive Functions Refutably / E. Kinber ; R. Wiehagen
Refuting Learning Revisited / W. Merkle
Learning Structures and Languages
Efficient Learning of Semi-structured Data from Queries / H. Arimura ; H. Sakamoto
Extending Elementary Formal Systems / S. Lange ; G. Grieser ; K.P. Jantke
Learning Regular Languages Using RFSA / F. Denis ; A. Lemay ; A. Terlutte
Inference of ?-Languages from Prefixes / C. de la Higuera ; J.-C. Janodet
Author Index
EditorsÆ Introduction / N. Abe ; R. Khardon ; T. Zeugmann
Invited Papers
The Discovery Science Project in Japan / S. Arikawa
8.

図書

図書
José L. Balcázar, Philip M. Long, Frank Stephan (eds.)
出版情報: Berlin : Springer, c2006  xiii, 392 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 4264 . Lecture notes in artificial intelligence
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9.

図書

図書
Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita (eds.)
出版情報: Berlin : Springer, c2005  xii, 489 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3734 . Lecture notes in artificial intelligence
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10.

図書

図書
Shai Ben-David, John Case, Akira Maruoka (eds.)
出版情報: Berlin : Springer, c2004  xiv, 504 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 3244 . Lecture notes in artificial intelligence
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