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1.

図書

図書
Claire Nédellec, Céline Rouveirol (eds.)
出版情報: Berlin ; New York : Springer, c1998  xii, 420 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1398 . Lecture notes in artificial intelligence
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2.

図書

図書
Grigoris Antoniou, Aditya Ghose, Miroslaw Truszczyński, eds
出版情報: Berlin ; Tokyo : Springer, c1998  x, 283 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1359 . Lecture notes in artificial intelligence
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目次情報:
The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book
Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis
The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book
Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis
3.

図書

図書
Vasant Honavar, Giora Slutzki (eds.)
出版情報: Berlin ; London : Springer, c1998  x, 270 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1433 . Lecture notes in artificial intelligence
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目次情報: 続きを見る
Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm / Kevin J. Lang ; Barak A. Pearlmutter ; Rodney A. Price
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data / Peter Rossmanith ; Thomas Zeugmann
Meaning Helps Learning Syntax / Isabelle Tellier
A Polynomial Time Incremental Algorithm for Learning DFA / Rajesh Parekh ; Codrin Nichitiu ; Vasant Honavar
The Data Driven Approach Applied to the OSTIA Algorithm / José Oncina
Grammar Model and Grammar Induction in the System NL PAGE / Vlado Kešelj
Approximate Learning of Random Subsequential Transducers / Antonio Castellanos
Learning Stochastic Finite Automata from Experts / Colin de la Higuera
Learning Deterministic Finite Automaton with a Recurrent Neural Network / Laura Firoiu ; Tim Oates ; Paul R. Cohen
Applying Grammatical Inference in Learning a Language Model for Oral Dialogue / Jacques Chodorowski ; Laurent Miclet
Real Language Learning / Jerome A. Feldman
A Stochastic Search Approach to Grammar Induction / Hugues Juillé ; Jordan B. Pollack
Transducer-Learning Experiments on Language Understanding / David Picó ; Enrique Vidal
Locally Threshold Testable Languages in Strict Sense: Application to the Inference Problem / José Ruiz ; Salvador España ; Pedro García
Learning a Subclass of Linear Languages from Positive Structural Information / José M. Sempere ; G. Nagaraja
Grammatical Inference in Document Recognition / Alexander S. Saidi ; Souad Tayeb-bey
Stochastic Inference of Regular Tree Languages / Rafael C. Carrasco ; Jorge Calera
How Considering Incompatible State Mergings May Reduce the DFA Induction Search Tree / François Coste ; Jacques Nicolas
Learning Regular Grammars to Model Musical Style: Comparing Different Coding Schemes / Pedro P. Cruz-Alcázar ; Enrique Vidal-Ruiz
Learning a Subclass of Context-Free Languages / J.D. Emerald ; K.G. Subramanian ; D.G. Thomas
Using Symbol Clustering to Improve Probabilistic Automaton Inference / Pierre Dupont ; Lin Chase
A Performance Evaluation of Automatic Survey Classifiers / Peter Viechnicki
Pattern Discovery in Biosequences / Alvis Br&abar;zma ; Inge Jonassen ; Jaak Vilo ; Esko Ukkonen
Author Index
Results of the Abbadingo One DFA Learning Competition and a New Evidence-Driven State Merging Algorithm / Kevin J. Lang ; Barak A. Pearlmutter ; Rodney A. Price
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data / Peter Rossmanith ; Thomas Zeugmann
Meaning Helps Learning Syntax / Isabelle Tellier
4.

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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目次情報: 続きを見る
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
5.

図書

図書
Hing-Yan Lee, Hiroshi Motoda (eds.)
出版情報: Berlin : Springer, c1998  xix, 646 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 1531 . Lecture notes in artificial intelligence
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6.

図書

図書
Workshop on Computational Learning Theory
出版情報: New York : Association for Computing Machinery, c1998  vii, 302 p. ; 28 cm
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