Metaheuristics for Machine Learning New Advances and Tools /

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 ev...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Eddaly, Mansour (Editor), Jarboui, Bassem (Editor), Siarry, Patrick (Editor)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Series:	Computational Intelligence Methods and Applications,
Subjects:	Machine learning. Artificial intelligence. Computer science. Machine Learning. Artificial Intelligence. Theory and Algorithms for Application Domains.
Online Access:	https://doi.org/10.1007/978-981-19-3888-7
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