Téléchargez le livre : Handbook of Evolutionary Machine Learning

Handbook of Evolutionary Machine Learning

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Éditeur :

Springer


Collection :

Genetic and Evolutionary Computation

Paru le : 2023-11-01

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Description

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. 
This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.
Pages
768 pages
Collection
Genetic and Evolutionary Computation
Parution
2023-11-01
Marque
Springer
EAN papier
9789819938131
EAN PDF
9789819938148
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
16220 Ko
Prix
231,04 €
EAN EPUB
9789819938148
Informations sur l'ebook
Nombre pages copiables
7
Nombre pages imprimables
76
Taille du fichier
65690 Ko
Prix
231,04 €

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