Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Colt Proceedings 1988 full books in PDF, epub, and Kindle. Read online Colt Proceedings 1988 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Carnegie Mellon University
Publisher :
ISBN 13 : 9780558690199
Total Pages : 433 pages
Book Rating : 4.6/5 (91 download)
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:
Author : David Haussler
Publisher :
ISBN 13 :
Total Pages : 433 pages
Book Rating : 4.:/5 (475 download)
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:
Author : Nicolò Cesa-Bianchi
Publisher : Morgan Kaufmann
ISBN 13 : 9781558607033
Total Pages : 0 pages
Book Rating : 4.6/5 (7 download)
Download or read book COLT Proceedings 1991 written by Nicolò Cesa-Bianchi and published by Morgan Kaufmann. This book was released on 2000-08-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Annual Workshops on Computational Learning Theory, available for 1988-2000.
Author : COLT
Publisher : Elsevier
ISBN 13 : 0323137709
Total Pages : 405 pages
Book Rating : 4.3/5 (231 download)
Download or read book COLT Proceedings 1990 written by COLT and published by Elsevier. This book was released on 2012-12-02 with total page 405 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.
Author : David Haussler
Publisher : Morgan Kaufmann
ISBN 13 : 9781558600195
Total Pages : 433 pages
Book Rating : 4.6/5 (1 download)
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.
Author : COLT
Publisher : Morgan Kaufmann
ISBN 13 : 0080948294
Total Pages : 397 pages
Book Rating : 4.0/5 (89 download)
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 397 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.
Author : Yves Kodratoff
Publisher : Elsevier
ISBN 13 : 0080510558
Total Pages : 836 pages
Book Rating : 4.0/5 (85 download)
Download or read book Machine Learning written by Yves Kodratoff and published by Elsevier. This book was released on 2014-06-28 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
Author : Alberto Maria Segre
Publisher : Morgan Kaufmann
ISBN 13 : 1483297403
Total Pages : 521 pages
Book Rating : 4.4/5 (832 download)
Download or read book Machine Learning Proceedings 1989 written by Alberto Maria Segre and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1989
Author : John K. Stuart
Publisher :
ISBN 13 :
Total Pages : 342 pages
Book Rating : 4.:/5 (16 download)
Download or read book Proceedings 1988 written by John K. Stuart and published by . This book was released on 1988 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Haussler
Publisher :
ISBN 13 :
Total Pages : 454 pages
Book Rating : 4.:/5 (318 download)
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:
Author : Gerhard Lakemeyer
Publisher : Springer Science & Business Media
ISBN 13 : 9783540581079
Total Pages : 372 pages
Book Rating : 4.5/5 (81 download)
Download or read book Foundations of Knowledge Representation and Reasoning written by Gerhard Lakemeyer and published by Springer Science & Business Media. This book was released on 1994-06-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers collected in this book cover a wide range of topics in asymptotic statistics. In particular up-to-date-information is presented in detection of systematic changes, in series of observation, in robust regression analysis, in numerical empirical processes and in related areas of actuarial sciences and mathematical programming. The emphasis is on theoretical contributions with impact on statistical methods employed in the analysis of experiments and observations by biometricians, econometricians and engineers.
Author : Stephen Muggleton
Publisher : Morgan Kaufmann
ISBN 13 : 9780125097154
Total Pages : 602 pages
Book Rating : 4.0/5 (971 download)
Download or read book Inductive Logic Programming written by Stephen Muggleton and published by Morgan Kaufmann. This book was released on 1992 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inductive logic programming is a new research area emerging at present. Whilst inheriting various positive characteristics of the parent subjects of logic programming an machine learning, it is hoped that the new area will overcome many of the limitations of its forbears. This book describes the theory, implementations and applications of Inductive Logic Programming.
Download or read book MILTEST Conference Proceedings ; 1988 written by and published by . This book was released on 1988 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Ryszard S. Michalski
Publisher : Morgan Kaufmann
ISBN 13 : 9781558602519
Total Pages : 798 pages
Book Rating : 4.6/5 (25 download)
Download or read book Machine Learning written by Ryszard S. Michalski and published by Morgan Kaufmann. This book was released on 1994-02-09 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems. The objectives of research in this area are to study trade-offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process. Multistrategy systems offer significant advantages over monostrategy systems. They are more flexible in the type of input they can learn from and the type of knowledge they can acquire. As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems. This volume is the first book in this fast growing field. It contains a selection of contributions by leading researchers specializing in this area. See below for earlier volumes in the series.
Author : United States. Congress. House. Committee on Armed Services. Subcommittee on Investigations
Publisher :
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.0/5 ( download)
Download or read book Examination of the M-16 Coproduction Agreement Between the United States and Korea written by United States. Congress. House. Committee on Armed Services. Subcommittee on Investigations and published by . This book was released on 1989 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Cornelius T. Leondes
Publisher : Elsevier
ISBN 13 : 0080498981
Total Pages : 485 pages
Book Rating : 4.0/5 (84 download)
Download or read book Algorithms and Architectures written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. Radial Basis Function networks The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks Weight initialization Fast and efficient variants of Hamming and Hopfield neural networks Discrete time synchronous multilevel neural systems with reduced VLSI demands Probabilistic design techniques Time-based techniques Techniques for reducing physical realization requirements Applications to finite constraint problems Practical realization methods for Hebbian type associative memory systems Parallel self-organizing hierarchical neural network systems Dynamics of networks of biological neurons for utilization in computational neuroscience
Author :
Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.3/5 (91 download)
Download or read book Proceedings of the ... Annual ACM Conference on Computational Learning Theory written by and published by . This book was released on 1999 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
