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Sinopsis
This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.
Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
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De la contraportada
This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.
Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2017
- ISBN 10 3319505017
- ISBN 13 9783319505015
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas134
- Contacto del fabricanteno disponible
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Sequential Learning and Decision Making in Wireless Resource Managment
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Springer International Publishing, 2017
ISBN 10: 3319505017
ISBN 13: 9783319505015
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Emphasizes intuition rather than laborious proofsProvides a recipe for applying theoretical tools to real-world problemsTreats both theoretical and practical aspects of the sequential learning and dec. Nº de ref. del artículo: 132702523
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Sequential Learning and Decision Making in Wireless Resource Managment
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Berlin Springer International Publishing Springer Jan 2017, 2017
ISBN 10: 3319505017
ISBN 13: 9783319505015
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible. 118 pp. Englisch. Nº de ref. del artículo: 9783319505015
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Sequential Learning and Decision Making in Wireless Resource Managment
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Springer, Berlin, Springer International Publishing, Springer, 2017
ISBN 10: 3319505017
ISBN 13: 9783319505015
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible. Nº de ref. del artículo: 9783319505015
Cantidad disponible: 2 disponibles
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Sequential Learning and Decision-Making in Wireless Resource Management (Wireless Networks)
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