Acquiring General Iterative Concepts By Reformulating Explanations Of Observed Examples
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Acquiring General Iterative Concepts By Reformulating Explanations Of Observed Examples
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Author : Jude W. Shavlik
language : en
Publisher:
Release Date : 1987
Acquiring General Iterative Concepts By Reformulating Explanations Of Observed Examples written by Jude W. Shavlik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Most research in explanation-based learning involves relaxing constraints on the variables in the explanation of a specific example, rather than generalizing the structure of the explanation itself. However, this precludes the acquisition of concepts where an iterative process is implicitly represented in the explanation by a fixed number of applications. Such explanations must be reformulated during generalization. The fully-implemented BAGGER system analyzes explanation structures and detects extendible repeated, inter-dependent applications of rules. When any are found, the explanation is extended so that an arbitrary number of repeated applications of the original rule are supported. The final structure is then generalized and a new rule produced which embodies a crucial shift in representation. An important property of the extended rules is that their preconditions are expressed in terms of the initial state-they do not depend on the results of intermediate applications of the original rule. BAGGER's generalization algorithm is presented and empirical results that demonstrate the value of generalizing to N are reported. To illustrate the approach, the acquisition of a plan for building towers of arbitrary height is discussed in detail. Keywords: Artificial intelligence, Machine learning, Explanation-based learning, Empirical analysis.
Machine Learning
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Author : Yves Kodratoff
language : en
Publisher: Elsevier
Release Date : 2014-06-28
Machine Learning written by Yves Kodratoff and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.
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.
Technical Reports Awareness Circular Trac
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Author :
language : en
Publisher:
Release Date : 1988-05
Technical Reports Awareness Circular Trac written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-05 with Science categories.
A Compendium Of Machine Learning Symbolic Machine Learning
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Author : Garry Briscoe
language : en
Publisher: Intellect (UK)
Release Date : 1996
A Compendium Of Machine Learning Symbolic Machine Learning written by Garry Briscoe and has been published by Intellect (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
Machine learning is a relatively new branch of artificial intelligence. The field has undergone a significant period of growth in the 1990s, with many new areas of research and development being explored.
Engineering Documents Center Index
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Author : University of Illinois at Urbana-Champaign. Engineering Documents Center
language : en
Publisher:
Release Date : 1987
Engineering Documents Center Index written by University of Illinois at Urbana-Champaign. Engineering Documents Center and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Engineering categories.
Government Reports Announcements Index
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Author :
language : en
Publisher:
Release Date : 1994-12
Government Reports Announcements Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12 with Science categories.
Government Reports Annual Index
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Author :
language : en
Publisher:
Release Date : 199?
Government Reports Annual Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 199? with categories.
Iterative Methods For Sparse Linear Systems
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Author : Yousef Saad
language : en
Publisher: SIAM
Release Date : 2003-04-01
Iterative Methods For Sparse Linear Systems written by Yousef Saad and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-01 with Mathematics categories.
Mathematics of Computing -- General.
Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13
Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Government Reports Annual Index Keyword A L
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Author :
language : en
Publisher:
Release Date : 1988
Government Reports Annual Index Keyword A L written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Government reports announcements & index categories.