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1.

図書

図書
B. Benninghofen, S. Kemmerich, M.M. Richter
出版情報: Berlin ; Tokyo : Springer-Verlag, c1987  x, 263 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 277
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目次情報: 続きを見る
Finite Sets of Reductions
Infinite Sets of Reductions
Automata and Reductions
Deciding Algebraic Properties of Finitely Presented Monoids by Friedrich Otto
References
Subject Index
List of Symbols and Abbreviations
Finite Sets of Reductions
Infinite Sets of Reductions
Automata and Reductions
2.

図書

図書
H. Boley, M.M. Richter, (eds.)
出版情報: Berlin ; New York : Springer Verlag, c1991  xii, 427 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 567 . Lecture notes in artificial intelligence
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3.

図書

図書
E. Börger, H. Kleine Büning, M.M. Richter (eds.)
出版情報: Berlin ; Tokyo : Springer-Verlag, c1990  vi, 437 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 440
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4.

図書

図書
E. Börger, H. Kleine Büning, M.M. Richter (eds.)
出版情報: Berlin ; Tokyo : Springer-Verlag, c1988  vi, 346 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 329
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5.

図書

図書
E. Börger, H. Kleine Büning, M.M. Richter (eds.)
出版情報: Berlin ; Tokyo : Springer-Verlag, c1989  vi, 399 p. ; 25 cm
シリーズ名: Lecture notes in computer science ; 385
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6.

図書

図書
Stefan Wess, Klaus-Dieter Althoff, Michael M. Richter (eds.)
出版情報: Berlin ; New York : Springer Verlag, c1994  ix, 469 p. ; 24 cm
シリーズ名: Lecture notes in computer science ; 837 . Lecture notes in artificial intelligence
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7.

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
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