Lingua: Inglese
Editore: Cham, Springer International Publishing; : Springer., 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 17,00
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Aggiungi al carrello23.5 cm x 15.5 cm, 0 g. VII, 124 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Big Data ; 20. Sprache: Englisch.
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Da: Books Puddle, New York, NY, U.S.A.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 136 pages. 9.25x6.25x0.50 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine learning can improve and support evolution strategies. The set ofmethods comprises covariance matrix estimation, meta-modeling of fitness andconstraint functions, dimensionality reduction for search and visualization ofhigh-dimensional optimization processes, and clustering-based niching. Aftergiving an introduction to evolution strategies and machine learning, the bookbuilds the bridge between both worlds with an algorithmic and experimentalperspective. Experiments mostly employ a (1+1)-ES and are implemented in Pythonusing the machine learning library scikit-learn. The examples are conducted ontypical benchmark problems illustrating algorithmic concepts and theirexperimental behavior. The book closes with a discussion of related lines ofresearch.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Jun 2016, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine learning can improve and support evolution strategies. The set ofmethods comprises covariance matrix estimation, meta-modeling of fitness andconstraint functions, dimensionality reduction for search and visualization ofhigh-dimensional optimization processes, and clustering-based niching. Aftergiving an introduction to evolution strategies and machine learning, the bookbuilds the bridge between both worlds with an algorithmic and experimentalperspective. Experiments mostly employ a (1+1)-ES and are implemented in Pythonusing the machine learning library scikit-learn. The examples are conducted ontypical benchmark problems illustrating algorithmic concepts and theirexperimental behavior. The book closes with a discussion of related lines ofresearch.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 136 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing Jun 2016, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine learning can improve and support evolution strategies. The set ofmethods comprises covariance matrix estimation, meta-modeling of fitness andconstraint functions, dimensionality reduction for search and visualization ofhigh-dimensional optimization processes, and clustering-based niching. Aftergiving an introduction to evolution strategies and machine learning, the bookbuilds the bridge between both worlds with an algorithmic and experimentalperspective. Experiments mostly employ a (1+1)-ES and are implemented in Pythonusing the machine learning library scikit-learn. The examples are conducted ontypical benchmark problems illustrating algorithmic concepts and theirexperimental behavior. The book closes with a discussion of related lines ofresearch. 136 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. State of the art presentation of Machine Learning in Evolution StrategiesCondensed presentationShort introduction and recent researchThis bookintroduces numerous algorithmic hybridizations between both worlds that showhow machine.
Da: Majestic Books, Hounslow, Regno Unito
EUR 142,65
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloBuch. Condizione: Neu. Machine Learning for Evolution Strategies | Oliver Kramer | Buch | ix | Englisch | 2016 | Springer | EAN 9783319333816 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.