Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) - Couverture souple
Synopsis
This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. Topics in the 22 revised full papers range from theoretical analysis of mechanisms to practical consideration for successful application of such techniques to everyday datamining tasks.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. Topics in the 22 revised full papers range from theoretical analysis of mechanisms to practical consideration for successful application of such techniques to everyday datamining tasks.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
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Springer, 2007
ISBN 10 : 3540712305
ISBN 13 : 9783540712305
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Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers (Lecture Notes in Computer Science, 4399)
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Learning Classifier Systems (Paperback)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 2007
ISBN 10 : 3540712305
ISBN 13 : 9783540712305
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Paperback. Etat : new. Paperback. The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi?er Systems (LCS) community. The topics range from theoretical analysis of mechanisms to practical cons- eration for successful application of such techniques to everyday data-mining tasks. When we started editing this volume, we faced the choice of organizing the contents in a purely chronologicalfashion or as a sequence of related topics that help walk the reader across the di?erent areas. In the end we decided to or- nize the contents by area, breaking the time-line a little. This is not a simple endeavor as we can organize the material using multiple criteria. The tax- omy below is our humble e?ort to provide a coherent grouping. Needless to say, some works may fall in more than one category. The four areas are as follows: Knowledge representation. These chapters elaborate on the knowledge r- resentations used in LCS. Knowledge representation is a key issue in any learning system and has implications for what it is possible to learn and what mechanisms shouldbe used. Four chapters analyze di?erent knowledge representations and the LCS methods used to manipulate them. The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi?er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783540712305
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Learning Classifier Systems: International Workshops, IWLCS 2003-2005, Revised Selected Papers (Lecture Notes in Computer Science, 4399)
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Learning Classifier Systems
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Springer Berlin Heidelberg Mrz 2007, 2007
ISBN 10 : 3540712305
ISBN 13 : 9783540712305
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. Topics in the 22 revised full papers range from theoretical analysis of mechanisms to practical consideration for successful application of such techniques to everyday datamining tasks. 364 pp. Englisch. N° de réf. du vendeur 9783540712305
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Learning Classifier Systems
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Learning Classifier Systems
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Learning Classifier Systems
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Etat : New. PRINT ON DEMAND pp. 364. N° de réf. du vendeur 18301747
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Learning Classifier Systems
Edité par
Springer Berlin Heidelberg, 2007
ISBN 10 : 3540712305
ISBN 13 : 9783540712305
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the thoroughly refereed joint post-proceedings of three consecutive International Workshops on Learning Classifier Systems that took place in Chicago, IL in July 2003, in Seattle, WA in June 2004, and in Washington, DC in June 2005. N° de réf. du vendeur 4899176
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Learning Classifier Systems
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2007, 2007
ISBN 10 : 3540712305
ISBN 13 : 9783540712305
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -The work embodied in this volume was presented across three consecutive e- tions of the International Workshop on Learning Classi er Systems that took place in Chicago (2003), Seattle (2004), and Washington (2005). The Genetic and Evolutionary Computation Conference, the main ACM SIGEvo conference, hosted these three editions. The topics presented in this volume summarize the wide spectrum of interests of the Learning Classi er Systems (LCS) community. The topics range from theoretical analysis of mechanisms to practical cons- eration for successful application of such techniques to everyday data-mining tasks. When we started editing this volume, we faced the choice of organizing the contents in a purely chronologicalfashion or as a sequence of related topics that help walk the reader across the di erent areas. In the end we decided to or- nize the contents by area, breaking the time-line a little. This is not a simple endeavor as we can organize the material using multiple criteria. The tax- omy below is our humble e ort to provide a coherent grouping. Needless to say, some works may fall in more than one category. The four areas are as follows: Knowledge representation. These chapters elaborate on the knowledge r- resentations used in LCS. Knowledge representation is a key issue in any learning system and has implications for what it is possible to learn and what mechanisms shouldbe used. Four chapters analyze di erent knowledge representations and the LCS methods used to manipulate them.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch. N° de réf. du vendeur 9783540712305
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