Scalable optimization probabilistic modeling (15 risultati)

Lingua: Inglese
Editore: Springer 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer 2006
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Altre immaginiLingua: Inglese
Editore: Springer 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Scalable Optimization via Probabilistic Modeling | From Algorithms to Applications | Martin Pelikan (u. a.) | Taschenbuch | Studies in Computational Intelligence | xx | Englisch | 2010 | Springer | EAN 9783642071164 | 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 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Condizione: New. pp. 372.

Lingua: Inglese
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - I'm not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probab…ilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you're going to pick up this book and nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation's population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e ciency enhancement and then concludes with relevant applications. The emphasis on e ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e ective surrogates, hybrids, and parallel and temporal decompositions.

Lingua: Inglese
Editore: Springer Berlin Heidelberg 2006
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Gebunden. Condizione: New. one of the hottest topics in evolutionary computation excellent compilation of carefully selected topics in estimation of distribution algorithms---search algorithms that combine ideas from evolutionary algorithms and machine learning.an ey.

Lingua: Inglese
Editore: Springer 2006
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Brand New. 370 pages. 9.00x6.00x0.84 inches. In Stock.

Lingua: Inglese
Editore: Springer 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Paperback. Condizione: Like New. Like New. book.

Lingua: Inglese
Editore: Springer, Berlin, Springer 2006
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Buch. Condizione: Neu. Neuware - I'm not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications…is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you're going to pick up this book and nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation's population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e ciency enhancement and then concludes with relevant applications. The emphasis on e ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e ective surrogates, hybrids, and parallel and temporal decompositions.

Lingua: Inglese
Editore: Springer 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Lingua: Inglese
Editore: Springer Berlin Heidelberg Nov 2010 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -I'm not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimiz…ation via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you're going to pick up this book and nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation's population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e ciency enhancement and then concludes with relevant applications. The emphasis on e ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e ective surrogates, hybrids, and parallel and temporal decompositions. 372 pp. Englisch.

Lingua: Inglese
Editore: Springer Berlin Heidelberg 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. one of the hottest topics in evolutionary computation excellent compilation of carefully selected topics in estimation of distribution algorithms---search algorithms that combine ideas from evolutionary algorithms an…d machine learning.an ey.

Lingua: Inglese
Editore: Springer, Springer Nov 2010 2010
Serie: Studies in Computational Intelligence, Libro 36 di 538. Libro 36 di 538 - Studies in Computational Intelligence
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -I¿m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimizatio…n via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that yoüre going to pick up this book and nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation¿s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e ciency enhancement and then concludes with relevant applications. The emphasis on e ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e ective surrogates, hybrids, and parallel and temporal decompositions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 372 pp. Englisch.

Lingua: Inglese
Editore: Springer 2010
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Condizione: New. Print on Demand pp. 372 98 Illus.

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Condizione: New. PRINT ON DEMAND pp. 372.