Metaheuristics Machine Learning New (21 results)

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Brand New. 240 pages. 9.21x6.14x0.51 inches. In Stock.

Taschenbuch. Condition: Neu. Neuware.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Taschenbuch. Condition: 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. …

Taschenbuch. Condition: 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. …

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

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

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

Buch. Condition: Neu. nach der Bestellung gedruckt 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. …

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Condition: New. PRINT ON DEMAND.