Téléchargez le livre : Metaheuristics for Machine Learning

Metaheuristics for Machine Learning

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Éditeur :

Springer


Collection :

Computational Intelligence Methods and Applications

Paru le : 2023-03-13

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Description
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.
Pages
223 pages
Collection
Computational Intelligence Methods and Applications
Parution
2023-03-13
Marque
Springer
EAN papier
9789811938870
EAN PDF
9789811938887
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
6687 Ko
Prix
168,79 €
EAN EPUB
9789811938887
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
13128 Ko
Prix
168,79 €

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