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Author : Thomas Petsche
Publisher :
ISBN 13 :
Total Pages : 405 pages
Book Rating : 4.:/5 (233 download)
Download or read book Computational Learning Theory and Natural Learning Systems - Vol. III written by Thomas Petsche and published by . This book was released on 1995 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Russell Greiner
Publisher : MIT Press
ISBN 13 : 9780262571180
Total Pages : 440 pages
Book Rating : 4.5/5 (711 download)
Download or read book Computational Learning Theory and Natural Learning Systems: Making learning systems practical written by Russell Greiner and published by MIT Press. This book was released on 1994 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the fourth and final volume of papers from a series of workshops called "Computational Learning Theory and Ǹatural' Learning Systems." The purpose of the workshops was to explore the emerging intersection of theoretical learning research and natural learning systems. The workshops drew researchers from three historically distinct styles of learning research: computational learning theory, neural networks, and machine learning (a subfield of AI). Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems. Contributors : Klaus Abraham-Fuchs, Yasuhiro Akiba, Hussein Almuallim, Arunava Banerjee, Sanjay Bhansali, Alvis Brazma, Gustavo Deco, David Garvin, Zoubin Ghahramani, Mostefa Golea, Russell Greiner, Mehdi T. Harandi, John G. Harris, Haym Hirsh, Michael I. Jordan, Shigeo Kaneda, Marjorie Klenin, Pat Langley, Yong Liu, Patrick M. Murphy, Ralph Neuneier, E.M. Oblow, Dragan Obradovic, Michael J. Pazzani, Barak A. Pearlmutter, Nageswara S.V. Rao, Peter Rayner, Stephanie Sage, Martin F. Schlang, Bernd Schurmann, Dale Schuurmans, Leon Shklar, V. Sundareswaran, Geoffrey Towell, Johann Uebler, Lucia M. Vaina, Takefumi Yamazaki, Anthony M. Zador.
Author : Stephen José Hanson
Publisher : Bradford Books
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4.:/5 (318 download)
Download or read book Computational Learning Theory and Natural Learning Systems: Selecting good models written by Stephen José Hanson and published by Bradford Books. This book was released on 1994 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems.
Author : Stephen José Hanson
Publisher : Mit Press
ISBN 13 : 9780262581332
Total Pages : 449 pages
Book Rating : 4.5/5 (813 download)
Download or read book Computational Learning Theory and Natural Learning Systems written by Stephen José Hanson and published by Mit Press. This book was released on 1994 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: As with Volume I, this second volume represents a synthesis of issues in three historically distinct areas of learning research: computational learning theory, neural network research, and symbolic machine learning. While the first volume provided a forum for building a science of computational learning across fields, this volume attempts to define plausible areas of joint research: the contributions are concerned with finding constraints for theory while at the same time interpreting theoretic results in the context of experiments with actual learning systems. Subsequent volumes will focus on areas identified as research opportunities.Computational learning theory, neural networks, and AI machine learning appear to be disparate fields; in fact they have the same goal: to build a machine or program that can learn from its environment. Accordingly, many of the papers in this volume deal with the problem of learning from examples. In particular, they are intended to encourage discussion between those trying to build learning algorithms (for instance, algorithms addressed by learning theoretic analyses are quite different from those used by neural network or machine-learning researchers) and those trying to analyze them.The first section provides theoretical explanations for the learning systems addressed, the second section focuses on issues in model selection and inductive bias, the third section presents new learning algorithms, the fourth section explores the dynamics of learning in feedforward neural networks, and the final section focuses on the application of learning algorithms.A Bradford Book
Author : Thomas Petsche
Publisher :
ISBN 13 :
Total Pages : 407 pages
Book Rating : 4.:/5 (946 download)
Download or read book Computational Learning Theory and Natural Learning Systems written by Thomas Petsche and published by . This book was released on 1997 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Stephen José Hanson
Publisher :
ISBN 13 :
Total Pages : 449 pages
Book Rating : 4.:/5 (37 download)
Download or read book Computational Learning Theory and Natural Learning Systems written by Stephen José Hanson and published by . This book was released on 1994 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 : 9780262571180
Total Pages : pages
Book Rating : 4.5/5 (711 download)
Download or read book Computational Learning Theory and Natural Learning Systems written by and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
ISBN 13 : 1107057132
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Author : Paul Vitanyi
Publisher : Springer Science & Business Media
ISBN 13 : 9783540591191
Total Pages : 442 pages
Book Rating : 4.5/5 (911 download)
Download or read book Computational Learning Theory written by Paul Vitanyi and published by Springer Science & Business Media. This book was released on 1995-02-23 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the Second European Conference on Computational Learning Theory (EuroCOLT '95), held in Barcelona, Spain in March 1995. The book contains full versions of the 28 papers accepted for presentation at the conference as well as three invited papers. All relevant topics in fundamental studies of computational aspects of artificial and natural learning systems and machine learning are covered; in particular artificial and biological neural networks, genetic and evolutionary algorithms, robotics, pattern recognition, inductive logic programming, decision theory, Bayesian/MDL estimation, statistical physics, and cryptography are addressed.
Author : Werner Horn
Publisher :
ISBN 13 : 9784274903885
Total Pages : 796 pages
Book Rating : 4.9/5 (38 download)
Download or read book ECAI 2000 written by Werner Horn and published by . This book was released on 2000 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher : CRC Press
ISBN 13 : 1135439621
Total Pages : 1142 pages
Book Rating : 4.1/5 (354 download)
Download or read book written by and published by CRC Press. This book was released on with total page 1142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Shai Ben-David
Publisher : Springer Science & Business Media
ISBN 13 : 9783540626855
Total Pages : 350 pages
Book Rating : 4.6/5 (268 download)
Download or read book Computational Learning Theory written by Shai Ben-David and published by Springer Science & Business Media. This book was released on 1997-03-03 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references and index.
Author : Kwong S. Leung
Publisher : Springer
ISBN 13 : 3540444912
Total Pages : 576 pages
Book Rating : 4.5/5 (44 download)
Download or read book Intelligent Data Engineering and Automated Learning - IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents written by Kwong S. Leung and published by Springer. This book was released on 2003-07-31 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S. Leung, L.-W. Chan, and H. Meng (Eds.): IDEAL 2000, LNCS 1983, pp. 3›8, 2000. Springer-Verlag Berlin Heidelberg 2000 4 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 5 6 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 7 0.6 1.5 0.4 1 0.2 0.5 0 0 10 100 1000 10000 10 100 1000 Mutual information (bits) Mutual information (bits) 8 J. Sinkkonen and S. Kaski 20 10 0 0.1 0.3 0.5 0.7 Mutual information (mbits) Analyses on the Generalised Lotto-Type Competitive Learning Andrew Luk St B&P Neural Investments Pty Limited, Australia Abstract, In generalised lotto-type competitive learning algorithm more than one winner exist. The winners are divided into a number of tiers (or divisions), with each tier being rewarded differently. All the losers are penalised (which can be equally or differently). In order to study the various properties of the generalised lotto-type competitive learning, a set of equations, which governs its operations, is formulated. This is then used to analyse the stability and other dynamic properties of the generalised lotto-type competitive learning.
Author : Olivier Chapelle
Publisher : MIT Press
ISBN 13 : 0262514125
Total Pages : 525 pages
Book Rating : 4.2/5 (625 download)
Download or read book Semi-Supervised Learning written by Olivier Chapelle and published by MIT Press. This book was released on 2010-01-22 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field, applications, benchmark experiments, and directions for future research. In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi-Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low-density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.
Author : Saso Dzeroski
Publisher : Springer
ISBN 13 : 3540487514
Total Pages : 308 pages
Book Rating : 4.5/5 (44 download)
Download or read book Inductive Logic Programming written by Saso Dzeroski and published by Springer. This book was released on 2003-06-26 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Inductive Logic Programming, ILP-99, held in Bled, Slovenia, in June 1999. The 24 revised papers presented were carefully reviewed and selected from 40 submissions. Also included are abstracts of three invited contributions. The papers address all current issues in inductive logic programming and inductive learning, from foundational and methodological issues to applications, e.g. in natural language processing, knowledge discovery, and data mining.
Author : Sašo Džeroski
Publisher : Springer Science & Business Media
ISBN 13 : 3540661093
Total Pages : 308 pages
Book Rating : 4.5/5 (46 download)
Download or read book Inductive Logic Programming written by Sašo Džeroski and published by Springer Science & Business Media. This book was released on 1999-06-09 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wewishtothank AlfredHofmannandAnnaKramerofSpringer-Verlagfortheircooperationin publishing these proceedings. Finally, we gratefully acknowledge the nancial supportprovidedbythesponsorsofILP-99.
Author : E Fiesler
Publisher : CRC Press
ISBN 13 : 1420050648
Total Pages : 1094 pages
Book Rating : 4.4/5 (2 download)
Download or read book Handbook of Neural Computation written by E Fiesler and published by CRC Press. This book was released on 2020-01-15 with total page 1094 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl
