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Machine Learning Evolution Strategies by Kramer Oliver (25 results)
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Machine Learning in Evolution Strategies.
Book 14 of 95: Studies in Big DataLanguage: English
Published by Cham, Springer International Publishing; : Springer., 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
Association Member: GIAQ ILAB VDA
Seller rating 4 out of 5 stars
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.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Evolution Strategies (Studies in Big Data, 20)
Book 14 of 95: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 95.42
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Machine Learning for Evolution Strategies (Studies in Big Data, 20)
Book 14 of 95: Studies in Big DataSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 96.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. IX, 124 38 illus. in color. Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 105.65
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Condition: New. pp. 110.
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Hardcover. Condition: Brand New. 136 pages. 9.25x6.25x0.50 inches. In Stock.
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Taschenbuch. Condition: Neu. Machine Learning for Evolution Strategies | Oliver Kramer | Taschenbuch | ix | Englisch | 2018 | Springer | EAN 9783319815008 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Buch. Condition: 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.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer, Berlin, Springer International Publishing, Springer, 2018
ISBN 10: 3319815008 ISBN 13: 9783319815008
Taschenbuch. Condition: 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.
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: new. Questo è un articolo print on demand.
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Condition: new. Questo è un articolo print on demand.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Berlin Springer International Publishing Springer Mai 2018, 2018
ISBN 10: 3319815008 ISBN 13: 9783319815008
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. 124 pp. Englisch.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing Jun 2016, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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.
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Condition: New. Print on Demand pp. 110.
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Machine Learning in Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Condition: 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.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer International Publishing, 2018
ISBN 10: 3319815008 ISBN 13: 9783319815008
Condition: 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.
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Condition: New. Print on Demand pp. IX, 124 38 illus. in color.
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Condition: New. PRINT ON DEMAND pp. IX, 124 38 illus. in color.
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Condition: New. PRINT ON DEMAND pp. 110.
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Machine Learning for Evolution Strategies
Book 14 of 95: Studies in Big DataLanguage: English
Published by Springer, Springer Jun 2016, 2016
ISBN 10: 331933381X ISBN 13: 9783319333816
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.
