Eddaly M Metaheuristics for Machine Learning New Advances and Tools 2023
General:
Name: Eddaly M Metaheuristics for Machine Learning New Advances and Tools 2023
Format: pdf
Size: 6.44 MB
Book:
Title: Metaheuristics for MachineLearning
Author: Mansour Eddaly (Editor), Bassem Jarboui (Editor), Patrick Siarry (Editor)
Language: angielski
Year: 2023
Subjects: Science & Technology, Mathematics, Probability Theory, Statistics
Publisher: Springer-Verlag New York, LLC
ISBN: 9789811938887
Total pages: 231
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.
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