Proceedings Of The Third Annual Workshop On Computational Learning Theory PDF Download
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Author | : |
Publisher | : |
Total Pages | : |
Release | : 2000 |
Genre | : Computational learning theory |
ISBN | : |
Download Proceedings of the Third Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
Author | : ACM Special Interest Group for Automata and Computability Theory |
Publisher | : Morgan Kaufmann |
Total Pages | : 408 |
Release | : 1990 |
Genre | : Computers |
ISBN | : 9781558601468 |
Download Proceedings of the Third Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
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.
Author | : ACM Special Interest Group for Automata and Computability Theory |
Publisher | : Morgan Kaufmann |
Total Pages | : 408 |
Release | : 1990 |
Genre | : Artificial intelligence |
ISBN | : |
Download Proceedings of the Third Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
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.
Author | : ACM Special Interest Group for Automata and Computability Theory |
Publisher | : Morgan Kaufmann |
Total Pages | : 412 |
Release | : 1990 |
Genre | : Computers |
ISBN | : 9781558601468 |
Download Proceedings of the Third Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
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.
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Total Pages | : 468 |
Release | : 1992 |
Genre | : Algorithms |
ISBN | : |
Download Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
Author | : Workshop on Computational Learning Theory |
Publisher | : |
Total Pages | : 0 |
Release | : |
Genre | : |
ISBN | : |
Download Proceedings of the ... Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
Author | : |
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Total Pages | : |
Release | : 1990 |
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Download Proceedings of the Annual Workshop on Computational Learning Theory ; 3 Book in PDF, ePub and Kindle
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Download Proceedings of the ... Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1991 |
Genre | : |
ISBN | : |
Download Proceedings of the Annual Workshop on Computational Learning Theory ; 4 Book in PDF, ePub and Kindle
Author | : Ronald Rivest |
Publisher | : |
Total Pages | : 389 |
Release | : 1989 |
Genre | : |
ISBN | : |
Download Proceedings of the 2. Annual Workshop on Computational Learning Theory Book in PDF, ePub and Kindle