Handbook of Evolutionary Machine Learning

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Banzhaf, Wolfgang (Editor), Machado, Penousal (Editor), Zhang, Mengjie (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edition:1st ed. 2024.
Series:Genetic and Evolutionary Computation,
Subjects:
Online Access:https://doi.org/10.1007/978-981-99-3814-8
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