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9783540205449 - Learning Classifier Systems: 5th International Workshop, Iwlcs 2002, Granada, Spain, September 7-8, 2002, Revised Papers Lecture Notes in Computer Science, 2661 (15 results)
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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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Learning Classifier Systems : 5th International Workshop, Iwlcs 2002, Granada, Spain, September 2002 : Revised Papers
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Condition: New. pp. 244.
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Learning Classifier Systems
Language: English
Published by Springer Berlin Heidelberg, 2003
ISBN 10: 3540205446 ISBN 13: 9783540205449
Condition: New.
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Taschenbuch. 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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Learning Classifier Systems : 5th International Workshop, Iwlcs 2002, Granada, Spain, September 2002 : Revised Papers
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Learning Classifier Systems
Language: English
Published by Springer Berlin Heidelberg Nov 2003, 2003
ISBN 10: 3540205446 ISBN 13: 9783540205449
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch.
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Condition: New. Print on Demand pp. 244 Illus.
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Condition: New. PRINT ON DEMAND pp. 244.
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Learning Classifier Systems
Language: English
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2003, 2003
ISBN 10: 3540205446 ISBN 13: 9783540205449
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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. 244 pp. Englisch.
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Taschenbuch. Condition: Neu. Learning Classifier Systems | 5th International Workshop, IWLCS 2002, Granada, Spain, September 7-8, 2002, Revised Papers | Pier Luca Lanzi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2003 | Springer | EAN 9783540205449 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.
