Metaheuristics in Machine Learning: Theory and Applications: 967 (Studies in Computational Intelligence, 967) - Tapa blanda
Libro 475 de 538: Studies in Computational Intelligence
Sinopsis
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.
The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
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De la contraportada
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.
The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
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Metaheuristics in Machine Learning: Theory and Applications (eng)
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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Metaheuristics in Machine Learning: Theory and Applications
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the con. Nº de ref. del artículo: 628806708
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Metaheuristics in Machine Learning: Theory and Applications
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Springer International Publishing Jul 2022, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. 788 pp. Englisch. Nº de ref. del artículo: 9783030705442
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Metaheuristics in Machine Learning: Theory and Applications
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Springer, Palgrave Macmillan Jul 2022, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 788 pp. Englisch. Nº de ref. del artículo: 9783030705442
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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Metaheuristics in Machine Learning: Theory and Applications
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 788 | Sprache: Englisch | Produktart: Bücher | This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. Nº de ref. del artículo: 39088217/1
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Metaheuristics in Machine Learning: Theory and Applications
Publicado por
Springer International Publishing, 2022
ISBN 10: 3030705447
ISBN 13: 9783030705442
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities. Nº de ref. del artículo: 9783030705442
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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Metaheuristics in Machine Learning: Theory and Applications (Studies in Computational Intelligence, 967)
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