Hierarchical bayesian optimization algorithm von pelikan martin (26 Ergebnisse)

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hardcover. Zustand: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.

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Zustand: New. In English.

Zustand: New. pp. 186.

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Zustand: New. pp. 188.

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PF. Zustand: New.

Zustand: New. In English.

Taschenbuch. Zustand: 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.…

Gebunden. Zustand: 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 .

Taschenbuch. Zustand: 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.…

Zustand: new. Questo è un articolo print on demand.

Taschenbuch. Zustand: 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.…

Zustand: New. Print on Demand pp. 188 Illus.

Zustand: 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.

Zustand: New. PRINT ON DEMAND pp. 188.

Zustand: New. PRINT ON DEMAND pp. 186.

Zustand: 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 .…

Taschenbuch. Zustand: 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.…