hardcover. Condizione: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.
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Aggiungi al carrelloCondizione: Used. pp. 188.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Condizione: New. pp. 186.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
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Aggiungi al carrelloPF. Condizione: New.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Da: moluna, Greven, Germania
EUR 64,08
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Aggiungi al carrelloGebunden. Condizione: New. Presents a new generation of evolutionary algorithms, which are revolutionary approaches to black-box optimizationThis book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms .
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Hierarchical Bayesian Optimization Algorithm | Toward a New Generation of Evolutionary Algorithms | Martin Pelikan | Taschenbuch | Studies in Fuzziness and Soft Computing | xviii | Englisch | 2010 | Springer | EAN 9783642062735 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2005
ISBN 10: 3540237747 ISBN 13: 9783540237747
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 77,74
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Berlin Heidelberg Okt 2010, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization. 184 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 76,76
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 186 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,98
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 186.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a new generation of evolutionary algorithms, which are revolutionary approaches to black-box optimizationThis book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms .
Lingua: Inglese
Editore: Springer, Springer Okt 2010, 2010
ISBN 10: 3642062733 ISBN 13: 9783642062735
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch.