Buch. Etat : 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. N� de r�f. du vendeur 9789811984594

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Genetic Programming Theory and Practice XIX

Edit� par Springer, Berlin|Springer Nature Singapore|Springer, 2023

ISBN 10 : 981198459X ISBN 13 : 9789811984594

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Etat : 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. N� de r�f. du vendeur 747116711

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Genetic Programming Theory and Practice XIX

Leonardo Trujillo

Edit� par Springer Nature Singapore, 2023

ISBN 10 : 981198459X ISBN 13 : 9789811984594

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : 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. N� de r�f. du vendeur 9789811984594

Contacter le vendeur