6. ALT 1995: Fukuoka, Japan

@proceedings{DBLP:conf/alt/1995,
  editor    = {Klaus P. Jantke and
               Takeshi Shinohara and
               Thomas Zeugmann},
  title     = {Algorithmic Learning Theory, 6th International Conference, ALT
               '95, Fukuoka, Japan, October 18-20, 1995, Proceedings},
  booktitle = {ALT},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {997},
  year      = {1995},
  isbn      = {3-540-60454-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

• Klaus P. Jantke, Takeshi Shinohara, Thomas Zeugmann: Editor's Introduction. ix-xv BibTeX

Session 1

• Yasubumi Sakakibara: Grammatical Inference: An Old and New Paradigm. 1-24 BibTeX

Session 2

• Amr F. Fahmy, Robert S. Roos: Efficient Learning of Real Time One-Counter Automata. 25-40 BibTeX
• Takeshi Koshiba, Erkki Mäkinen, Yuji Takada: Learning Strongly Deterministic Even Linear Languages from Positive Examples. 41-54 BibTeX
• Hiroshi Sakamoto: Language Learning from Membership Queries and Characteristic Examples. 55-65 BibTeX
• Hiroki Arimura, Hiroki Ishizaka, Takeshi Shinohara: Learning Unions of Tree Patterns Using Queries. 66-79 BibTeX

Session 3

• Luc De Raedt, Wim Van Laer: Inductive Constraint Logic. 80-94 BibTeX
• M. R. K. Krishna Rao: Incremental Learning of Logic Programs. 95-109 BibTeX
• Akira Miyashiro, Eiji Takimoto, Yoshifumi Sakai, Akira Maruoka: Learning Orthogonal F-Horn Formulas. 110-122 BibTeX

Session 4

• Peter Auer: Learning Nested Differences in the Presence of Malicious Noise. 123-137 BibTeX
• Atsuyoshi Nakamura, Shinji Miura: Learning Sparse Linear Combinations of Basis Functions over a Finite Domain. 138-150 BibTeX

Session 5

• John D. Kececioglu, Ming Li, John Tromp: Inferring a DNA Sequence from Erroneous Copies (Abstract). 151-152 BibTeX

Session 6

• John Case, Sanjay Jain, Arun Sharma: Machine Induction Without Revolutionary Paradigm Shifts. 153-168 BibTeX
• Léa Meyer: Probabilistic Language Learning Under Monotonicity Constraints. 169-184 BibTeX
• Frank Stephan: Noisy Inference and Oracles. 185-200 BibTeX
• Bala Kalyanasundaram, Mahendran Velauthapillai: Simulating Teams with Many Conjectures. 201-214 BibTeX

Session 7

• Charles C. Pinter: Complexity of Network Training for Classes of Neural Networks. 215-227 BibTeX
• Ricard Gavaldà, David Guijarro: Learning Ordered Binary Decision Diagrams. 228-238 BibTeX
• Jorge Castro, José L. Balcázar: Simple PAC Learning of Simple Decision Lists. 239-248 BibTeX

Session 8

• Carlos Domingo, John Shawe-Taylor: The Complexity of Learning Minor Closed Graph Classes. 249-260 BibTeX

Session 9

• Yves Kodratoff: Technical and Scientific Issues of KDD (or: Is KDD a Science?). 261-265 BibTeX

Session 10

• Ken Sadohara, Makoto Haraguchi: Analogical Logic Program Synthesis Algorithm That Can Refute Inappropriate Similarities. 266-281 BibTeX
• Klaus P. Jantke: Reflecting and Self-Confident Inductive Inference Machines. 282-297 BibTeX
• Satoshi Kobayashi, Takashi Yokomori: On Approximately Identifying Concept Classes in the Limit. 298-312 BibTeX
• Andris Ambainis: Application of Kolmogorov Complexity to Inductive Inference with Limited Memory. 313-318 BibTeX