Publicado por Morgan & Claypool Publishers, 2019
ISBN 10: 1627056386 ISBN 13: 9781627056380
Idioma: Inglés
Librería: suffolkbooks, Center moriches, NY, Estados Unidos de America
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
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Publicado por Springer International Publishing, 2019
ISBN 10: 3031792882 ISBN 13: 9783031792885
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multi-armed bandit problems pertain to optimal sequential decision making and learning in unknown environments. Since the first bandit problem posed by Thompson in 1933 for the application of clinical trials, bandit problems have enjoyed lasting attention from multiple research communities and have found a wide range of applications across diverse domains. This book covers classic results and recent development on both Bayesian and frequentist bandit problems. We start in Chapter 1 with a brief overview on the history of bandit problems, contrasting the two schools-Bayesian and frequentist-of approaches and highlighting foundational results and key applications. Chapters 2 and 4 cover, respectively, the canonical Bayesian and frequentist bandit models. In Chapters 3 and 5, we discuss major variants of the canonical bandit models that lead to new directions, bring in new techniques, and broaden the applications of this classical problem. In Chapter 6, we present several representative application examples in communication networks and social-economic systems, aiming to illuminate the connections between the Bayesian and the frequentist formulations of bandit problems and how structural results pertaining to one may be leveraged to obtain solutions under the other.
Publicado por Springer International Publishing, 2019
ISBN 10: 3031792882 ISBN 13: 9783031792885
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 53,60
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Añadir al carritoTaschenbuch. Condición: Neu. Multi-Armed Bandits | Theory and Applications to Online Learning in Networks | Qing Zhao | Taschenbuch | xviii | Englisch | 2019 | Springer International Publishing | EAN 9783031792885 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritopaperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Publicado por Morgan & Claypool Publishers, 2019
ISBN 10: 1627056386 ISBN 13: 9781627056380
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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