Handbook of Evolutionary Machine Learning

Language: English

Published by Springer, Springer Nov 2023, 2023

9819938139 / 9789819938131

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 784 pp. Englisch.

Seller Inventory # 9789819938131

Title
Handbook of Evolutionary Machine Learning
Author
Wolfgang Banzhaf
Publisher
Springer, Springer Nov 2023
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
9819938139
ISBN 13
9789819938131
Item weight
1,326 grams
Dimensions
241x160x48 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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