Da: Books From California, Simi Valley, CA, U.S.A.
EUR 49,85
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Aggiungi al carrelloPaperback. Condizione: Very Good. Light shelfwear. Pages clean and intact.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 88,27
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Aggiungi al carrelloCondizione: New. In.
Editore: Now Publishers Inc 2014-06, 2014
ISBN 10: 1601988508 ISBN 13: 9781601988508
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 82,04
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Aggiungi al carrelloPF. Condizione: New.
EUR 94,61
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Aggiungi al carrelloCondizione: New. Inhaltsverzeichnis1: Motivation and Notation 2: Optimization by Single Agents 3: Stochastic Optimization by Single Agents 4: Performance of Single Agents 5: Centralized Adaptation and Learning 6: Multi-Agent Network Model 7: Multi-.
Da: dsmbooks, Liverpool, Regno Unito
EUR 177,62
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 93,99
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 89,17
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 101,72
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 747.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 115,80
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Adaptation, Learning, and Optimization over Networks deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and learning problems from streaming data through localized interactions among agents. The results derived in this monograph are useful in comparing network topologies against each other, and in comparing networked solutions against centralized or batch implementations.There are many good reasons for the peaked interest in distributed implementations, especially in this day and age when the word 'network' has become commonplace whether one is referring to social networks, power networks, transportation networks, biological networks, or other types of networks. Some of these reasons have to do with the benefits of cooperation in terms of improved performance and improved resilience to failure. Other reasons deal with privacy and secrecy considerations where agents may not be comfortable sharing their data with remote fusion centers. In other situations, the data may already be available in dispersed locations, as happens with cloud computing. One may also be interested in learning through data mining from big data sets. Motivated by these considerations, Adaptation, Learning, and Optimization over Networks examines the limits of performance of distributed solutions and discusses procedures that help bring forth their potential more fully.Adaptation, Learning, and Optimization over Networks adopts a useful statistical framework and derives performance results that elucidate the mean-square stability, convergence, and steady-state behavior of the learning networks. At the same time, the monograph illustrates how distributed processing over graphs gives rise to some revealing phenomena due to the coupling effect among the agents. These phenomena are discussed in the context of adaptive networks, along with examples from a variety of areas including distributed sensing, intrusion detection, distributed estimation, online adaptation, network system theory, and machine learning.