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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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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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Sequential Learning and Decision-Making in Wireless Resource Management (Wireless Networks)
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Sequential Learning and Decision-making in Wireless Resource Management
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Sequential Learning and Decision-Making in Wireless Resource Management (Hardcover)
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Springer International Publishing AG, Cham, 2017
ISBN 10: 3319505017
ISBN 13: 9783319505015
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Hardcover. Condizione: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783319505015
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Sequential Learning and Decision-Making in Wireless Resource Management (Wireless Networks)
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Sequential Learning and Decision-Making in Wireless Resource Management (Wireless Networks)
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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. Condizione: 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. Codice articolo 9783319505015
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Sequential Learning and Decision-Making in Wireless Resource Management (Wireless Networks)
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Sequential Learning and Decision-making in Wireless Resource Management
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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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Da: moluna, Greven, Germania
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Condizione: 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. Codice articolo 132702523
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