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ORCID8. ALT 1997: Sendai, Japan
- Ming Li, Akira Maruoka:
Algorithmic Learning Theory, 8th International Conference, ALT '97, Sendai, Japan, October 6-8, 1997, Proceedings. Lecture Notes in Computer Science 1316, Springer 1997, ISBN 3-540-63577-7
Session 1
- Manuel Blum:
Program Error Detection/Correction: Turning PAC Learning into PERFECT Learning (Abstract). 1
Session 2
- Andris Ambainis, Kalvis Apsitis, Rusins Freivalds, William I. Gasarch, Carl H. Smith:
Team Learning as a Game. 2-17 - Eiju Hirowatari, Setsuo Arikawa:
Inferability of Recursive Real-Valued Functions. 18-31 - Sanjay Jain, Steffen Lange, Jochen Nessel:
Learning of R.E. Languages from Good Examples. 32-47 - Satoshi Kobayashi, Takashi Yokomori:
Identifiability of Subspaces and Homomorphic Images of Zero-Reversible Languages. 48-61
Session 3
- Leonard Pitt:
On Exploiting Knowledge and Concept Use in Learning Theory. 62-84
Session 4
- Carlos Domingo, Tatsuie Tsukiji, Osamu Watanabe:
Partial Occam's Razor and Its Applications. 85-99 - Meera Sitharam, Timothy Straney:
Deranomized Learning of Boolean Functions. 100-115 - Rajesh Parekh, Vasant G. Honavar
:
Learning DFA from Simple Examples. 116-131
Session 5
- François Denis, Rémi Gilleron:
PAC Learning under Helpful Distributions. 132-145 - Hongzhu Qiao, Nageswara S. V. Rao, Vladimir A. Protopopescu:
PAC Learning Using Nadaraya-Watson Estimator Based on Orthonormal Systems. 146-160 - Endre Boros, Toshihide Ibaraki, Kazuhisa Makino:
Monotone Extensions of Boolean Data Sets. 161-175
Session 6
- Masahiko Sato:
Classical Brouwer-Heyting-Kolmogorov Interpretation. 176-196
Session 7
- Yasuhito Mukouchi:
Inferring a System from Examples with Time Passage. 197-211 - Satoshi Matsumoto, Yukiko Hayashi, Takayoshi Shoudai:
Polynomial Time Inductive Inference of Regular Term Tree Languages from Positive Data. 212-227 - John Case, Sanjay Jain, Arun Sharma:
Synthesizing Noise-Tolerant Language Learners. 228-243 - Andris Ambainis, Kalvis Apsitis, Cristian Calude, Rusins Freivalds, Marek Karpinski, Tomas Larfeldt, Iveta Sala, Juris Smotrovs:
Effects of Kolmogorov Complexity Present in Inductive Inference as Well. 244-259
Session 8
- Thomas Erlebach, Peter Rossmanith, Hans Stadtherr, Angelika Steger, Thomas Zeugmann:
Learning One-Variable Pattern Languages Very Efficiently on Average, in Parallel, and by Asking Queries. 260-276 - Johannes Köbler, Wolfgang Lindner:
Oracles in Sigmap2 are Sufficient for Exact Learning. 277-290 - Vikraman Arvind, N. V. Vinodchandran:
Exact Learning via Teaching Assistants (Extended Abstract). 291-306 - Atsuyoshi Nakamura:
An Efficient Exact Learning Algorithm for Ordered Binary Decision Diagrams. 307-322
Session 9
- V. G. Vovk:
Probability Theory for the Brier Game. 323-338 - Xiaolong Zhang, Masayuki Numao:
Learning and Revising Theories in Noisy Domains. 339-351 - Leonid Gurvits:
A Note on a Scale-Sensitive Dimension of Linear Bounded Functionals in Banach Spaces. 352-363
Session 10
- Wolfgang Maass:
On the Relevance of Time in Neural Computation and Learning. 364-384
Session 11
- Eiji Takimoto, Ken'ichi Hirai, Akira Maruoka:
A Simple Algorithm for Predicting Nearly as Well as the Best Pruning Labeled with the Best Prediction Values of a Decision Tree. 385-400 - Stephen Kwek:
Learning Disjunctions of Features. 401-415 - Hiroshi Sakamoto:
Learning Simple Deterministic Finite-Memory Automata. 416-431
Session 12
- Hiroki Arimura:
Learning Acyclic First-Order Horn Sentences from Entailment. 432-445 - Tibor Hegedüs, Piotr Indyk:
On Learning Disjunctions of Zero-One Treshold Functions with Queries. 446-460
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