Proceedings of the Second Annual Workshop on Computational Learning Theory
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Published By Elsevier

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 ◽

Cited By ~ 1

Author(s):

David Haussler

Keyword(s):

Uniform Convergence ◽

Sample Size ◽

Metric Dimension ◽

Convergence Results ◽

Model Sample ◽

Pac Model

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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 ◽

Cited By ~ 1

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 ◽

Cited By ~ 11

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 ◽

Cited By ~ 11

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 ◽

Cited By ~ 1

Author(s):

Daniel N. Osherson ◽

Michael Stob ◽

Scott Weinstein

Keyword(s):

Naval Research ◽

Research Support ◽

Approximate Truth ◽

Office Of Naval Research ◽

E Mail

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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 ◽

Cited By ~ 17

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 ◽

Cited By ~ 4

Author(s):

Robert E. Schapire

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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 ◽

Cited By ~ 73

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 ◽

Cited By ~ 10

Author(s):

William I. Gasarch ◽

Mark B. Pleszkoch

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Inductive Inference with Bounded Number of Mind Changes

Proceedings of the Second Annual Workshop on Computational Learning Theory ◽

10.1016/b978-0-08-094829-4.50017-9 ◽

1989 ◽

pp. 200-213 ◽

Cited By ~ 11

Author(s):

Mahendran Velauthapillai

Keyword(s):

Inductive Inference ◽

Bounded Number

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Proceedings of the Second Annual Workshop on Computational Learning TheoryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

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

INDUCTION FROM THE GENERAL TO THE MORE GENERAL

A Statistical Approach to Learning and Generalization in Layered Neural Networks

Equivalence Queries and Approximate Fingerprints

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

The Strength of Weak Learnability

IDENTIFICATION OF UNIONS OF LANGUAGES DRAWN FROM AN IDENTIFIABLE CLASS

LEARNING VIA QUERIES TO AN ORACLE

Inductive Inference with Bounded Number of Mind Changes

Proceedings of the Second Annual Workshop on Computational Learning Theory
Latest Publications