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Paperback. Condition: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
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US$ 8.99
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Add to basketCondition: Gut. 2003. 242 Seiten Innerhalb Deutschlands Versand je nach Größe/Gewicht als Großbrief bzw. Bücher- und Warensendung mit der Post oder per DHL. Rechnung mit MwSt.-Ausweis liegt jeder Lieferung bei. Sprache: Englisch Gewicht in Gramm: 363 Taschenbuch, Größe: 15.5 x 1.4 x 23.5 cm.
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Learning Classifier Systems: 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Learning Classifier Systems: 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers (Lecture Notes in Computer Science, 2661)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 70.79
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Learning Classifier Systems : 5th International Workshop, Iwlcs 2002, Granada, Spain, September 2002 : Revised Papers
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Learning Classifier Systems : 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers
Published by Springer Berlin Heidelberg, 2003
ISBN 10: 3540205446 ISBN 13: 9783540205449
Language: English
US$ 64.41
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The 5th International Workshop on Learning Classi er Systems (IWLCS2002) was held September 7-8, 2002, in Granada, Spain, during the 7th International Conference on Parallel Problem Solving from Nature (PPSN VII). We have included in this volume revised and extended versions of the papers presented at the workshop. In the rst paper, Browne introduces a new model of learning classi er system, iLCS, and tests it on the Wisconsin Breast Cancer classi cation problem. Dixon et al. present an algorithm for reducing the solutions evolved by the classi er system XCS, so as to produce a small set of readily understandable rules. Enee and Barbaroux take a close look at Pittsburgh-style classi er systems, focusing on the multi-agent problem known as El-farol. Holmes and Bilker investigate the effect that various types of missing data have on the classi cation performance of learning classi er systems. The two papers by Kovacs deal with an important theoretical issue in learning classi er systems: the use of accuracy-based tness as opposed to the more traditional strength-based tness. In the rst paper, Kovacs introduces a strength-based version of XCS, called SB-XCS. The original XCS and the new SB-XCS are compared in the second paper, where - vacs discusses the different classes of solutions that XCS and SB-XCS tend to evolve.
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US$ 89.88
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Learning Classifier Systems : 5th International Workshop, Iwlcs 2002, Granada, Spain, September 2002 : Revised Papers
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