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Foundations of Learning Classifier Systems Hardback - 2005 - 2005th Edition
by Larry Bull (Editor); Tim Kovacs (Editor)
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From the rear cover
This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.
Details
- Title Foundations of Learning Classifier Systems
- Author Larry Bull (Editor); Tim Kovacs (Editor)
- Binding Hardback
- Edition number 2005th
- Edition 2005
- Pages 336
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2005-07-22
- Illustrated Yes
- Features Bibliography, Illustrated
- ISBN 9783540250739 / 3540250735
- Weight 1.45 lbs (0.66 kg)
- Dimensions 9.21 x 6.14 x 0.81 in (23.39 x 15.60 x 2.06 cm)
- Category Mathematics
- Library of Congress Catalogue Number 2005925385
- Dewey Decimal Code 006.31
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FOUNDATIONS OF LEARNING CLASSIFIER SYSTEMS (STUDIES IN FUZZINESS AND SOFT COMPUTING) (STUDIES IN FUZZINESS AND SOFT COMPUTING)
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Foundations of Learning Classifier Systems (Studies in Fuzziness and Soft Computing, 183)
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