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Paperback. Zustand: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding.
Sprache: Englisch
Verlag: New York: Springer-Verlag, 2004
ISBN 10: 1852337702 ISBN 13: 9781852337704
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Zustand: Fine. First Edition, hardcover. 307 pages. Fine, a very sharp copy with a few light pressure marks on cover.
Zustand: As New. Graef, Matheus; Eidenschink, Luke; Kalle, Jasmine; Seaman, Chris; Kovacs, Doug; Kusuma, Bima (illustrator). Unread book in perfect condition.
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Sprache: Englisch
Verlag: Springer, 2004
Anbieter: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Deutschland
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Hardcover/Pappeinband. Zustand: Sehr gut. 323 p. Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 640.
Zustand: New. Graef, Matheus; Eidenschink, Luke; Kalle, Jasmine; Seaman, Chris; Kovacs, Doug; Kusuma, Bima (illustrator).
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Zustand: New. pp. 322.
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In den WarenkorbZustand: New. pp. 322 Illus.
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In den WarenkorbZustand: As New. Graef, Matheus; Eidenschink, Luke; Kalle, Jasmine; Seaman, Chris; Kovacs, Doug; Kusuma, Bima (illustrator). Unread book in perfect condition.
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In den WarenkorbZustand: New. Graef, Matheus; Eidenschink, Luke; Kalle, Jasmine; Seaman, Chris; Kovacs, Doug; Kusuma, Bima (illustrator).
Zustand: New. pp. 364.
Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2008
ISBN 10: 3540881379 ISBN 13: 9783540881377
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Zustand: New. Covers post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - hosted by the Genetic and Evolutionary Computation Conference, GECCO. This book features sections on knowledge representation, and analysis of the system. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 317 pages, biography. BIC Classification: UMB; UMX; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 492. . 2008. Paperback. . . . .
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2008
ISBN 10: 3540881379 ISBN 13: 9783540881377
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 307 pages. 9.00x6.00x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2008
ISBN 10: 3540881379 ISBN 13: 9783540881377
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Covers post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - hosted by the Genetic and Evolutionary Computation Conference, GECCO. This book features sections on knowledge representation, and analysis of the system. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 317 pages, biography. BIC Classification: UMB; UMX; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 492. . 2008. Paperback. . . . . Books ship from the US and Ireland.
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2007, 2007
ISBN 10: 3540712305 ISBN 13: 9783540712305
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2008
ISBN 10: 3540881379 ISBN 13: 9783540881377
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed joint post-conference proceedings of two consecutive International Workshops on Learning Classifier Systems that took place in Seattle, WA, USA in July 2006, and in London, UK, in July 2007 - all hosted by the Genetic and Evolutionary Computation Conference, GECCO. The 14 revised full papers presented were carefully reviewed and selected from the workshop contributions. The papers are organized in topical sections on knowledge representation, analysis of the system, mechanisms, new directions, as well as applications.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2007
ISBN 10: 3540712305 ISBN 13: 9783540712305
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 320 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Zustand: New.