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ORCID6. ALT 1995: Fukuoka, Japan
- Klaus P. Jantke
, Takeshi Shinohara, Thomas Zeugmann:
Algorithmic Learning Theory, 6th International Conference, ALT '95, Fukuoka, Japan, October 18-20, 1995, Proceedings. Lecture Notes in Computer Science 997, Springer 1995, ISBN 3-540-60454-5 - Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann:
Editor's Introduction. ALT 1995: ix-xv
Session 1
- Yasubumi Sakakibara:
Grammatical Inference: An Old and New Paradigm. 1-24
Session 2
- Amr F. Fahmy, Robert S. Roos:
Efficient Learning of Real Time One-Counter Automata. 25-40 - Takeshi Koshiba, Erkki Mäkinen, Yuji Takada:
Learning Strongly Deterministic Even Linear Languages from Positive Examples. 41-54 - Hiroshi Sakamoto:
Language Learning from Membership Queries and Characteristic Examples. 55-65 - Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara:
Learning Unions of Tree Patterns Using Queries. 66-79
Session 3
- Luc De Raedt, Wim Van Laer:
Inductive Constraint Logic. 80-94 - M. R. K. Krishna Rao:
Incremental Learning of Logic Programs. 95-109 - Akira Miyashiro, Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka:
Learning Orthogonal F-Horn Formulas. 110-122
Session 4
- Peter Auer:
Learning Nested Differences in the Presence of Malicious Noise. 123-137 - Atsuyoshi Nakamura, Shinji Miura:
Learning Sparse Linear Combinations of Basis Functions over a Finite Domain. 138-150
Session 5
- John D. Kececioglu, Ming Li, John Tromp:
Inferring a DNA Sequence from Erroneous Copies (Abstract). 151-152
Session 6
- John Case, Sanjay Jain, Arun Sharma:
Machine Induction Without Revolutionary Paradigm Shifts. 153-168 - Léa Meyer:
Probabilistic Language Learning Under Monotonicity Constraints. 169-184 - Frank Stephan:
Noisy Inference and Oracles. 185-200 - Bala Kalyanasundaram, Mahendran Velauthapillai:
Simulating Teams with Many Conjectures. 201-214
Session 7
- Charles C. Pinter:
Complexity of Network Training for Classes of Neural Networks. 215-227 - Ricard Gavaldà, David Guijarro:
Learning Ordered Binary Decision Diagrams. 228-238 - Jorge Castro, José L. Balcázar:
Simple PAC Learning of Simple Decision Lists. 239-248
Session 8
- Carlos Domingo, John Shawe-Taylor:
The Complexity of Learning Minor Closed Graph Classes. 249-260
Session 9
- Yves Kodratoff:
Technical and Scientific Issues of KDD (or: Is KDD a Science?). 261-265
Session 10
- Ken Sadohara, Makoto Haraguchi:
Analogical Logic Program Synthesis Algorithm That Can Refute Inappropriate Similarities. 266-281 - Klaus P. Jantke:
Reflecting and Self-Confident Inductive Inference Machines. 282-297 - Satoshi Kobayashi, Takashi Yokomori:
On Approximately Identifying Concept Classes in the Limit. 298-312 - Andris Ambainis:
Application of Kolmogorov Complexity to Inductive Inference with Limited Memory. 313-318
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