Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research. 276 pp. Englisch. Seller Inventory # 9789811984624

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Genetic Programming Theory and Practice XIX

Published by Springer, Berlin|Springer Nature Singapore|Springer, 2024

ISBN 10: 981198462X ISBN 13: 9789811984624

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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine lear. Seller Inventory # 1407958864

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Genetic Programming Theory and Practice XIX

Trujillo, Leonardo (EDT); Winkler, Stephan M. (EDT); Silva, Sara (EDT); Banzhaf, Wolfgang (EDT)

Published by Springer, 2024

ISBN 10: 981198462X ISBN 13: 9789811984624

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Genetic Programming Theory and Practice XIX

Leonardo Trujillo

Published by Springer Nature Singapore, 2024

ISBN 10: 981198462X ISBN 13: 9789811984624

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research. Seller Inventory # 9789811984624

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