Isbn: 9789811938900 - metaheuristics for machine learning: new advances and tools (9 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2024

    9811938903 / 9789811938900

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    Taschenbuch. Condizione: Neu. Metaheuristics for Machine Learning | New Advances and Tools | Mansour Eddaly (u. a.) | Taschenbuch | Computational Intelligence Methods and Applications | xv | Englisch | 2024 | Springer | EAN 9789811938900 | 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, 2024

    9811938903 / 9789811938900

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condizione: New. 2023rd edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2024

    9811938903 / 9789811938900

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.

  • Lingua: Inglese

    Editore: Springer, 2024

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 142,27

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

  • Lingua: Inglese

    Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2024

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    Da: moluna, Greven, Germaniamoluna

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    EUR 153,73

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating p.

  • Lingua: Inglese

    Editore: Springer Nature Singapore, Springer Nature Singapore Mär 2024, 2024

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 181,89

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking. 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Springer Mär 2024, 2024

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 181,89

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2024

    9811938903 / 9789811938900

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    EUR 248,83

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    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: Springer, 2024

    9811938903 / 9789811938900

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 251,83

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