Verwandte Artikel zu Adaptation, Learning, and Optimization Over Networks:...
Adaptation, Learning, and Optimization Over Networks: 23 (Foundations and Trends® in Machine Learning) - Softcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagNow Publishers Inc
- Erscheinungsdatum2014
- ISBN 10 1601988508
- ISBN 13 9781601988508
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten518
- Kontakt zum HerstellerNicht verfügbar
Neu kaufen
Diesen Artikel anzeigen
EUR 88,83
EUR 4,79 für den Versand von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & DauerSuchergebnisse für Adaptation, Learning, and Optimization Over Networks:...
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization Over Networks (Foundations and Trends(r) in Machine Learning)
Anbieter: Books From California, Simi Valley, CA, USA
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Very Good. Light shelfwear. Pages clean and intact. Bestandsnummer des Verkäufers mon0002556052
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization over Networks
Print-on-DemandAnbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781601988508
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization Over Networks (Foundations and Trends(r) in Machine Learning)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9781601988508_new
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Sayed, A: Adaptation, Learning, and Optimization Over Networ
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: 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-. Bestandsnummer des Verkäufers 904450741
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization over Networks
Print-on-DemandAnbieter: PBShop.store US, Wood Dale, IL, USA
Verkäuferbewertung 5 von 5 Sternen
PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781601988508
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization Over Networks
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9781601988508
Anzahl: 10 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization over Networks
Verlag:
now publishers Inc, 2014
ISBN 10: 1601988508
ISBN 13: 9781601988508
Neu
Paperback / softback
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 747. Bestandsnummer des Verkäufers C9781601988508
Anzahl: Mehr als 20 verfügbar
Foto des Verkäufers
Adaptation, Learning, and Optimization Over Networks
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9781601988508
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization over Networks
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 518 pages. 9.21x6.14x1.18 inches. In Stock. Bestandsnummer des Verkäufers x-1601988508
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Adaptation, Learning, and Optimization Over Networks (Foundations and Trends(r) in Machine Learning)
Anbieter: dsmbooks, Liverpool, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
Paperback. Zustand: Like New. Like New. book. Bestandsnummer des Verkäufers D7S9-6-M-1601988508-6
Anzahl: 1 verfügbar