Foundations of Learning Classifier Systems (Paperback, Softcover reprint of hardcover 1st ed. 2005)


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.


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Product Description

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.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Studies in Fuzziness and Soft Computing, 183

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

2005

Editors

,

Dimensions

235 x 155 x 18mm (L x W x T)

Format

Paperback

Pages

336

Edition

Softcover reprint of hardcover 1st ed. 2005

ISBN-13

978-3-642-06413-5

Barcode

9783642064135

Categories

LSN

3-642-06413-2



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