Verwandte Artikel zu Machine Learning for Evolution Strategies: 20 (Studies...
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Von der hinteren Coverseite
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 115,43
EUR 13,75 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & Dauer
Suchergebnisse für Machine Learning for Evolution Strategies: 20 (Studies...
Beispielbild für diese ISBN
Machine Learning in Evolution Strategies.
Verlag:
Cham, Springer International Publishing; : Springer., 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
Gebraucht
Hardcover
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
23.5 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. Artikel-Nr. 41532HB
Anzahl: 3 verfügbar
Beispielbild für diese ISBN
Machine Learning for Evolution Strategies (Studies in Big Data, 20)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Artikel-Nr. ria9783319333816_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Machine Learning for Evolution Strategies
ISBN 10: 331933381X
ISBN 13: 9783319333816
Neu
Hardcover
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Artikel-Nr. 9783319333816
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Machine Learning for Evolution Strategies
Verlag:
Springer International Publishing AG, 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
Neu
Hardcover
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Series: Studies in Big Data. Num Pages: 133 pages, 38 colour illustrations, biography. BIC Classification: UYQM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 10. Weight in Grams: 374. . 2016. Hardback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9783319333816
Anzahl: 15 verfügbar
Foto des Verkäufers
Machine Learning for Evolution Strategies
Verlag:
Springer International Publishing, 2016
ISBN 10: 331933381X
ISBN 13: 9783319333816
Neu
Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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. Artikel-Nr. 9783319333816
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Machine Learning for Evolution Strategies
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: Brand New. 136 pages. 9.25x6.25x0.50 inches. In Stock. Artikel-Nr. x-331933381X
Anzahl: 2 verfügbar