Proceedings of the Second Annual Workshop on Computational Learning Theory
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9780080948294

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Generalizing the PAC Model: Sample Size Bounds From Metric Dimension-based Uniform Convergence Results

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50032-5 ◽

1989 ◽

pp. 385 ◽

Author(s):

David Haussler

Keyword(s):

Uniform Convergence ◽

Sample Size ◽

Metric Dimension ◽

Convergence Results ◽

Model Sample ◽

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INDUCTION FROM THE GENERAL TO THE MORE GENERAL

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50027-1 ◽

1989 ◽

pp. 334-348 ◽

Author(s):

Kevin T. Kelly

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A Statistical Approach to Learning and Generalization in Layered Neural Networks

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50020-9 ◽

1989 ◽

pp. 245-260 ◽

Author(s):

Esther Levin ◽

Naftali Tishby ◽

Sara A. Solla

Keyword(s):

Neural Networks ◽

Statistical Approach ◽

Approach To Learning

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Equivalence Queries and Approximate Fingerprints

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50012-x ◽

1989 ◽

pp. 134-145 ◽

Author(s):

Dana Angluin

Keyword(s):

Equivalence Queries

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On Approximate Truth**Research support was provided by the Office of Naval Research under contract No. N00014-87-K-0401 to Osherson and Weinstein, and by NSF grants DMS-85-21712 and DMS-88-00030 to Stob. Correspondence to D. Osherson, E10–006, M.I.T., Cambridge, MA 02139; e-mail: [email protected]

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50009-x ◽

1989 ◽

pp. 88-101 ◽

Author(s):

Daniel N. Osherson ◽

Michael Stob ◽

Scott Weinstein

Keyword(s):

Naval Research ◽

Research Support ◽

Approximate Truth ◽

Office Of Naval Research ◽

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Inductive Principles of the Search for Empirical Dependences (Methods Based on Weak Convergence of Probability Measures)

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50004-0 ◽

1989 ◽

pp. 3-21 ◽

Author(s):

V.N. Vapnik

Keyword(s):

Weak Convergence ◽

Probability Measures ◽

Convergence Of Probability Measures

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The Strength of Weak Learnability

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50030-1 ◽

1989 ◽

pp. 383 ◽

Author(s):

Robert E. Schapire

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A Polynomial-time Algorithm for Learning k-variable Pattern Languages from Examples

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50007-6 ◽

1989 ◽

pp. 57-71 ◽

Author(s):

Michael Kearns ◽

Leonard Pitt

Keyword(s):

Polynomial Time ◽

Polynomial Time Algorithm ◽

Time Algorithm ◽

Pattern Languages ◽

Variable Pattern

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IDENTIFICATION OF UNIONS OF LANGUAGES DRAWN FROM AN IDENTIFIABLE CLASS

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50026-x ◽

1989 ◽

pp. 328-333 ◽

Author(s):

Keith Wright

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LEARNING VIA QUERIES TO AN ORACLE

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50018-0 ◽

1989 ◽

pp. 214-229 ◽

Author(s):

William I. Gasarch ◽

Mark B. Pleszkoch

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