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Book Synopsis Machine Learning Proceedings 1989 by : Machine Learning
Download or read book Machine Learning Proceedings 1989 written by Machine Learning and published by Morgan Kaufmann. This book was released on 2016-04-20 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989
Book Synopsis Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 by : Alberto Maria Segre
Download or read book Proceedings of the Sixth International Workshop on Machine Learning, Cornell University, Ithaca, New York, June 26-27, 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 1989 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989.
Book Synopsis Machine Learning Proceedings 1992 by : Peter Edwards
Download or read book Machine Learning Proceedings 1992 written by Peter Edwards and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1992
Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
Book Synopsis COLT '89 by : COLT
Download or read book COLT '89 written by COLT and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Learning Theory presents the theoretical issues in machine learning and computational models of learning. This book covers a wide range of problems in concept learning, inductive inference, and pattern recognition. Organized into three parts encompassing 32 chapters, this book begins with an overview of the inductive principle based on weak convergence of probability measures. This text then examines the framework for constructing learning algorithms. Other chapters consider the formal theory of learning, which is learning in the sense of improving computational efficiency as opposed to concept learning. This book discusses as well the informed parsimonious (IP) inference that generalizes the compatibility and weighted parsimony techniques, which are most commonly applied in biology. The final chapter deals with the construction of prediction algorithms in a situation in which a learner faces a sequence of trials, with a prediction to be given in each and the goal of the learner is to make some mistakes. This book is a valuable resource for students and teachers.
Book Synopsis Scandinavian Conference on Artificial Intelligence 89 by : Hannu Jaakkola
Download or read book Scandinavian Conference on Artificial Intelligence 89 written by Hannu Jaakkola and published by IOS Press. This book was released on 1989 with total page 1006 pages. Available in PDF, EPUB and Kindle. Book excerpt:
One of the largest and most active areas of AI, machine learning is of interest to students of psychology, philosophy of science, and education. Although self-contained, volume III follows the tradition of volume I (1983) and volume II (1986). Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Machine Learning by : Yves Kodratoff
Download or read book Machine Learning written by Yves Kodratoff and published by Morgan Kaufmann. This book was released on 1983 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the largest and most active areas of AI, machine learning is of interest to students of psychology, philosophy of science, and education. Although self-contained, volume III follows the tradition of volume I (1983) and volume II (1986). Annotation copyrighted by Book News, Inc., Portland, OR
Book Synopsis Machine Learning Proceedings 1991 by : Machine Learning
Download or read book Machine Learning Proceedings 1991 written by Machine Learning and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning
This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.
Book Synopsis Parallelism, Learning, Evolution by : J.D. Becker
Download or read book Parallelism, Learning, Evolution written by J.D. Becker and published by Springer Science & Business Media. This book was released on 1991-12-04 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.
Book Synopsis Machine Learning Proceedings 1990 by : Machine Learning
Download or read book Machine Learning Proceedings 1990 written by Machine Learning and published by Morgan Kaufmann. This book was released on 2014-05-23 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1990
This volume contains selected papers presented at the Eighth Logic Programming Conference, held in Tokyo, 1989. Various topics in logic programming are covered. The first paper is an invited talk by Prof. Donald Michie, Chief Scientist of the Turing Institute, entitled "Human and Machine Learning of Descriptive Concepts", and introduces various research results on learning obtained by his group. There are eleven further papers, organized into sections on reasoning, logic programming language, concurrent programming, knowledge programming, natural language processing, and applications. A paper on knowledge programming introduces a flexible and powerful tool for incorporating and organizing knowledge using hypermedia. Another paper presents the constraint logic programming language cu-Prolog, designed for combinatorial problems; the way cu-Prolog solves the constraints is based on program transformation.
Book Synopsis Logic Programming '89 by : Koichi Furukawa
Download or read book Logic Programming '89 written by Koichi Furukawa and published by Springer Science & Business Media. This book was released on 1991-04-24 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers presented at the Eighth Logic Programming Conference, held in Tokyo, 1989. Various topics in logic programming are covered. The first paper is an invited talk by Prof. Donald Michie, Chief Scientist of the Turing Institute, entitled "Human and Machine Learning of Descriptive Concepts", and introduces various research results on learning obtained by his group. There are eleven further papers, organized into sections on reasoning, logic programming language, concurrent programming, knowledge programming, natural language processing, and applications. A paper on knowledge programming introduces a flexible and powerful tool for incorporating and organizing knowledge using hypermedia. Another paper presents the constraint logic programming language cu-Prolog, designed for combinatorial problems; the way cu-Prolog solves the constraints is based on program transformation.