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ORCID2nd COLT 1989: Santa Cruz, CA, USA
- Ronald L. Rivest, David Haussler, Manfred K. Warmuth:
Proceedings of the Second Annual Workshop on Computational Learning Theory, COLT 1989, Santa Cruz, CA, USA, July 31 - August 2, 1989. Morgan Kaufmann 1989, ISBN 1-55860-086-8 - Vladimir Vapnik:
Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures). 3-21 - Naoki Abe:
Polynomial Learnability of Semilinear Sets. 25-40 - David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth:
Learning Nested Differences of Intersection-Closed Concept Classes. 41-56 - Michael J. Kearns, Leonard Pitt:
A Polynomial-Time Algorithm for Learning k-Variable Pattern Languages from Examples. 57-71 - B. K. Natarajan:
On Learning from Exercises. 72-87 - Daniel N. Osherson, Michael Stob, Scott Weinstein:
On Approximate Truth. 88-101 - Aleksandar Milosavljevic, David Haussler, Jerzy Jurka:
Informed Parsimonious Inference of Prototypical Genetic Sequences. 102-117 - Jyh-Han Lin, Jeffrey Scott Vitter:
Complexity Issues in Learning by Neural Nets. 118-133 - Dana Angluin:
Equivalence Queries and Approximate Fingerprints. 134-145 - Lisa Hellerstein, Marek Karpinski:
Learning Read-Once Formulas Using Membership Queries. 146-161 - Hiroki Ishizaka:
Learning Simple Deterministic Languages. 162-174 - Mark A. Fulk, Sanjay Jain:
Learning in the Presence of Inaccurate Information. 175-188 - Sanjay Jain, Arun Sharma, John Case:
Convergence to Nearly Minimal Size Grammars by Vacillating Learning Machines. 189-199 - Mahendran Velauthapillai:
Inductive Inference with Bounded Number of Mind Changes. 200-213 - William I. Gasarch, Mark G. Pleszkoch:
Learning via Queries to an Oracle. 214-229 - Judea Pearl, Rina Dechter:
Learning Structure from Data: A Survey. 230-244 - Esther Levin, Naftali Tishby, Sara A. Solla:
A Statistical Approach to Learning and Generalization in Layered Neural Networks. 245-260 - Ramamohan Paturi, Sanguthevar Rajasekaran, John H. Reif:
The Light Bulb Problem. 261-268 - Nick Littlestone:
From On-Line to Batch Learning. 269-284 - Shai Ben-David, Gyora M. Benedek, Yishay Mansour:
A Parametrization Scheme for Classifying Models of Learnability. 285-302 - Stuart A. Kurtz, Carl H. Smith:
On the Role of Search for Learning. 303-311 - Setsuo Arikawa, Takeshi Shinohara, Akihiro Yamamoto:
Elementary Formal System as a Unifying Framework for Language Learning. 312-327 - Keith Wright:
Identification of Unions of Languages Drawn from an Identifiable Class. 328-333 - Kevin T. Kelly:
Induction from the General to the More General. 334-348 - Sally Floyd:
Space-Bounded Learning and the Vapnik-Chervonenkis Dimension. 349-364 - Jyrki Kivinen:
Reliable and Useful Learning. 365-380
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