4. ALT 1993: Tokyo, Japan

Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori (Eds.): Algorithmic Learning Theory, 4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993, Proceedings. Lecture Notes in Computer Science 744 Springer 1993, ISBN 3-540-57370-4 BibTeX

@proceedings{DBLP:conf/alt/1993,
  editor    = {Klaus P. Jantke and
               Shigenobu Kobayashi and
               Etsuji Tomita and
               Takashi Yokomori},
  title     = {Algorithmic Learning Theory, 4th International Workshop, ALT
               '93, Tokyo, Japan, November 8-10, 1993, Proceedings},
  booktitle = {ALT},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {744},
  year      = {1993},
  isbn      = {3-540-57370-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Papers

Philip Laird: Identifying and Using Patterns in Sequential Data. 1-18 BibTeX
Satoru Miyano: Learning Theory Toward Genome Informatics. 19-36 BibTeX
Stephen Muggleton: Optimal Layered Learning: A PAC Approach to Incremental Sampling. 37-44 BibTeX

Inductive Logic and Inference

Jun Arima, Hajime Sawamura: Reformulation of Explanation by Linear Logic: Toward Logic for Explanation. 45-57 BibTeX
Janis Barzdins, Guntis Barzdins, Kalvis Apsitis, Ugis Sarkans: Towards Efficient Inductive Synthesis of Expressions from Input/Output Examples. 59-72 BibTeX
Masami Hagiya: A Typed Lambda-Calculus for Proving-by-Example and Bottom-Up Generalization Procedure. 73-86 BibTeX
Klaus P. Jantke, Steffen Lange: Case-Based Representation and Learning of Pattern Languages. 87-100 BibTeX
Taisuke Sato, Sumitaka Akiba: Inductive Resolution. 101-110 BibTeX
Akihiro Yamamoto: Generalized Unification as Background Knowledge in Learning Logic Programs. 111-122 BibTeX

Inductive Inference

Yasuhito Mukouchi, Setsuo Arikawa: Inductive Inference Machines That Can Refute Hypothesis Spaces. 123-136 BibTeX
Rusins Freivalds, Carl H. Smith: On the Duality Between Mechanistic Learners and What it is They Learn. 137-149 BibTeX
Sanjay Jain, Arun Sharma: On Aggregating Teams of Learning Machines. 150-163 BibTeX
Juris Viksna: Learning With Growing Quality. 164-172 BibTeX
Robert P. Daley, Bala Kalyanasundaram: Use of Reduction Arguments in Determining Popperian FIN-Type Learning Capabilities. 173-186 BibTeX
Takashi Moriyama, Masako Sato: Properties of Language Classes With Finite Elasticity. 187-196 BibTeX
Shyam Kapur: Uniform Charakterizations of Various Kinds of Language Learning. 197-208 BibTeX
Timo Knuutila: How to Invent Characterizable Inference Methods for Regular Languages. 209-222 BibTeX

Approximate Learning

Jorge Ricardo Cuellar, Hans-Ulrich Simon: Neural Discriminant Analysis. 223-236 BibTeX
Makoto Iwayama, Nitin Indurkhya, Hiroshi Motoda: A New Algorithm for Automatic Configuration of Hidden Markov Models. 237-250 BibTeX
Akito Sakurai: On the VC-Dimension of Depth Four Threshold Circuits and the Complexity of Boolean-Valued Functions. 251-264 BibTeX
Eiji Takimoto, Akira Maruoka: On the Sample Complexity of Consistent Learning with One-Sided Error. 265-278 BibTeX
Ayumi Shinohara: Complexity of Computing Vapnik-Chervonenkis Dimension. 279-287 BibTeX
Susumu Hasegawa, Hiroshi Imai, Masaki Ishiguro: Epsilon-Approximations of k-label Spaces. 288-299 BibTeX

Query Learning

Atsuyoshi Nakamura, Naoki Abe: Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. 300-313 BibTeX
Rani Siromoney, D. G. Thomas, K. G. Subramanian, V. Rajkumar Dare: Thue Systems and DNA - A Learning Algorithm for a Subclass. 314-327 BibTeX
Yoshiyasu Ishigami, Sei'ichi Tani: The VC-Dimensions of Finite Automata with n States. 328-341 BibTeX

Explanation-Based Learning

Kenichi Yoshida, Hiroshi Motoda, Nitin Indurkhya: Unifying Learning Methods by Colored Digraphs. 342-355 BibTeX
Masaki Suwa, Hiroshi Motoda: A Perceptual Criterion for Visually Controlling Learning. 356-369 BibTeX
Satoshi Kobayashi: Learning Strategies Using Decision Lists. 370-383 BibTeX

New Learning Paradigms

Ning Zhong, Setsuo Ohsuga: A Decomposition Based Induction Model for Discovering Concept Clusters from Databases. 384-397 BibTeX
Jean-Gabriel Ganascia: Algebraic Structure of Some Learning Systems. 398-409 BibTeX
Shusaku Tsumoto, Hiroshi Tanaka: Induction of Probabilistic Rules Based on Rough Set Theory. 410-423 BibTeX