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Proceedings Of The 1988 Workshop On Computational Learning Theory
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Book Synopsis COLT Proceedings 1988 by : David Haussler
Download or read book COLT Proceedings 1988 written by David Haussler and published by Morgan Kaufmann. This book was released on 1988-11 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cover identifies this volume as COLT 88, but the title page and CIP show title and main entry as above. The conference was held Aug. 1988, in Boston. The papers present research from a variety of specializations focusing on rigorous and formal analyses of theoretical issues in machine learning.
Book Synopsis Proceedings of the 1988 Workshop on Computational Learning Theory by :
Download or read book Proceedings of the 1988 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:
Book Synopsis Proceedings of the 1988 Workshop on Computational Learning Theory by : David Haussler
Download or read book Proceedings of the 1988 Workshop on Computational Learning Theory written by David Haussler and published by . This book was released on 1989 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Learning Theory written by and published by . This book was released on 1988 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis COLT 1988 by : Carnegie Mellon University
Download or read book COLT 1988 written by Carnegie Mellon University and published by . This book was released on 1988 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Learning Theory (COLT '88) by : David Haussler
Download or read book Computational Learning Theory (COLT '88) written by David Haussler and published by . This book was released on 1989 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Learning Theory by : Martin Anthony
Download or read book Computational Learning Theory written by Martin Anthony and published by Cambridge University Press. This book was released on 1997-02-27 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational learning theory is a subject which has been advancing rapidly in the last few years. The authors concentrate on the probably approximately correct model of learning, and gradually develop the ideas of efficiency considerations. Finally, applications of the theory to artificial neural networks are considered. Many exercises are included throughout, and the list of references is extensive. This volume is relatively self contained as the necessary background material from logic, probability and complexity theory is included. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.
Book Synopsis Proceedings of the 1988 Workshop on Computational Learning Theory by : Bruce Spatz
Download or read book Proceedings of the 1988 Workshop on Computational Learning Theory written by Bruce Spatz and published by . This book was released on 1988 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents: Learning in Neural Networks; Training a 3-node Neural network is NP-Complete; Equivalence of Models for Polynomial Learnability; Results on Learnability and the Vapnik-Chervonenkis Dimension; Learning complicated Concepts Reliably and Usefully; types of Noise in Data for Concept Learning; Learning in Parallel; Some Remarks About Space-complexity of Learning, and Circuit Complexity of Recognizing;A General Lower bound on the Number of Examples needed for Learning; The Power of Vacillation; Prudence in Language Learning; Transformation of Probabilistic Learning Strategies into Deterministic learning Strategies; Inductive Inference: an Abstract Approach; Learning Theories in a Subset of a Polyadic Logic. Predicting (0,1)-Functions on Randomly Drawn Points; Learning Probabilistic Prediction functions; Learning Context-Free Grammars from Structural Data in Polynomial Time; Learning Pattern Languages from a Single Initial Example and from Queries; and Learning Regular Languages from Counterexamples. Keywords: Symposia. (JHD).
Book Synopsis Proceedings of the ... Annual Workshop on Computational Learning Theory by : Workshop on Computational Learning Theory
Download or read book Proceedings of the ... Annual Workshop on Computational Learning Theory written by Workshop on Computational Learning Theory and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the ... Annual Workshop on Computational Learning Theory by :
Download or read book Proceedings of the ... Annual Workshop on Computational Learning Theory written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :ACM Special Interest Group for Automata and Computability Theory Publisher :Morgan Kaufmann ISBN 13 :9781558601468 Total Pages :408 pages Book Rating :4.6/5 (14 download)
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.
Book Synopsis Proceedings of the Annual Workshop on Computational Learning Theory ; 3 by :
Download or read book Proceedings of the Annual Workshop on Computational Learning Theory ; 3 written by and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Fourth Annual Workshop on Computational Learning Theory by : Workshop on Computational Learning Theory
Download or read book Proceedings of the Fourth Annual Workshop on Computational Learning Theory written by Workshop on Computational Learning Theory and published by . This book was released on 1991 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :ACM Special Interest Group for Automata and Computability Theory Publisher :Morgan Kaufmann ISBN 13 :9781558601468 Total Pages :412 pages Book Rating :4.6/5 (14 download)
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.
Book Synopsis Proceedings of the Annual Workshop on Computational Learning Theory ; 4 by :
Download or read book Proceedings of the Annual Workshop on Computational Learning Theory ; 4 written by and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the Fourth Annual Workshop on Computational Learning Theory by : Workshop on Computational Learning Theory
Download or read book Proceedings of the Fourth Annual Workshop on Computational Learning Theory written by Workshop on Computational Learning Theory and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Proceedings of the 2. Annual Workshop on Computational Learning Theory by : Ronald Rivest
Download or read book Proceedings of the 2. Annual Workshop on Computational Learning Theory written by Ronald Rivest and published by . This book was released on 1989 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt:
