Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory

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ISBN 13 :
Total Pages : 468 pages
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Download or read book Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory written by and published by . This book was released on 1992 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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Proceedings of the Annual Workshop on Computational Learning Theory ; 4

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Proceedings of the ... Annual Workshop on Computational Learning Theory

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Proceedings of the Annual Workshop on Computational Learning Theory ; 3

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Proceedings of the Third Annual Workshop on Computational Learning Theory

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558601468
Total Pages : 408 pages
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Book Synopsis Proceedings of the Third Annual Workshop on Computational Learning Theory by : ACM Special Interest Group for Automata and Computability Theory

Download or read book Proceedings of the Third Annual Workshop on Computational Learning Theory written by ACM Special Interest Group for Automata and Computability Theory and published by Morgan Kaufmann. This book was released on 1990 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990. The book focuses on the processes, methodologies, principles, and approaches involved in computational learning theory. The selection first elaborates on inductive inference of minimal programs, learning switch configurations, computational complexity of approximating distributions by probabilistic automata, and a learning criterion for stochastic rules. The text then takes a look at inductive identification of pattern languages with restricted substitutions, learning ring-sum-expansions, sample complexity of PAC-learning using random and chosen examples, and some problems of learning with an Oracle. The book examines a mechanical method of successful scientific inquiry, boosting a weak learning algorithm by majority, and learning by distances. Discussions focus on the relation to PAC learnability, majority-vote game, boosting a weak learner by majority vote, and a paradigm of scientific inquiry. The selection is a dependable source of data for researchers interested in the computational learning theory.

Computational Learning Theory

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ISBN 13 :
Total Pages : pages
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Proceedings of the 2. Annual Workshop on Computational Learning Theory

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ISBN 13 :
Total Pages : 389 pages
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Annual Workshop on Computational Learning Theory

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Download or read book Annual Workshop on Computational Learning Theory written by and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the Third Annual Workshop on Computational Learning Theory

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558601468
Total Pages : 412 pages
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Book Synopsis Proceedings of the Third Annual Workshop on Computational Learning Theory by : ACM Special Interest Group for Automata and Computability Theory

Download or read book Proceedings of the Third Annual Workshop on Computational Learning Theory written by ACM Special Interest Group for Automata and Computability Theory and published by Morgan Kaufmann. This book was released on 1990 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990. The book focuses on the processes, methodologies, principles, and approaches involved in computational learning theory. The selection first elaborates on inductive inference of minimal programs, learning switch configurations, computational complexity of approximating distributions by probabilistic automata, and a learning criterion for stochastic rules. The text then takes a look at inductive identification of pattern languages with restricted substitutions, learning ring-sum-expansions, sample complexity of PAC-learning using random and chosen examples, and some problems of learning with an Oracle. The book examines a mechanical method of successful scientific inquiry, boosting a weak learning algorithm by majority, and learning by distances. Discussions focus on the relation to PAC learnability, majority-vote game, boosting a weak learner by majority vote, and a paradigm of scientific inquiry. The selection is a dependable source of data for researchers interested in the computational learning theory.

Annual Workshop on Computational Learning Theory

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ISBN 13 :
Total Pages : pages
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Download or read book Annual Workshop on Computational Learning Theory written by and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the Fifth Annual Acm Workshop on Computational Learning Theory

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Publisher : Assn for Computing Machinery
ISBN 13 : 9780897914970
Total Pages : 468 pages
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Computational Learning Theory

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Publisher : Springer Science & Business Media
ISBN 13 : 3540423435
Total Pages : 639 pages
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Proceedings of the Third Annual Workshop on Computational Learning Theory

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (442 download)

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Download or read book Proceedings of the Third Annual Workshop on Computational Learning Theory written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the Third Annual Workshop on Computational Learning Theory

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Author :
Publisher : Morgan Kaufmann
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.:/5 (321 download)

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Book Synopsis Proceedings of the Third Annual Workshop on Computational Learning Theory by : ACM Special Interest Group for Automata and Computability Theory

Download or read book Proceedings of the Third Annual Workshop on Computational Learning Theory written by ACM Special Interest Group for Automata and Computability Theory and published by Morgan Kaufmann. This book was released on 1990 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: COLT '90 covers the proceedings of the Third Annual Workshop on Computational Learning Theory, sponsored by the ACM SIGACT/SIGART, University of Rochester, Rochester, New York on August 6-8, 1990. The book focuses on the processes, methodologies, principles, and approaches involved in computational learning theory. The selection first elaborates on inductive inference of minimal programs, learning switch configurations, computational complexity of approximating distributions by probabilistic automata, and a learning criterion for stochastic rules. The text then takes a look at inductive identification of pattern languages with restricted substitutions, learning ring-sum-expansions, sample complexity of PAC-learning using random and chosen examples, and some problems of learning with an Oracle. The book examines a mechanical method of successful scientific inquiry, boosting a weak learning algorithm by majority, and learning by distances. Discussions focus on the relation to PAC learnability, majority-vote game, boosting a weak learner by majority vote, and a paradigm of scientific inquiry. The selection is a dependable source of data for researchers interested in the computational learning theory.

Proceedings of the Fourth Annual Workshop on Computational Learning Theory

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ISBN 13 :
Total Pages : pages
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Proceedings of the Second Annual Workshop on Computational Learning Theory

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ISBN 13 :
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