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Advanced mean field methods : theory and practice

Author: Manfred Opper; David Saad
Publisher: Cambridge, Mass. : MIT Press, ©2001.
Series: Neural information processing series.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"Bringing together ideas and techniques from diverse disciplines, this book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and demonstrates their application to various areas of probabilistic modeling."--Jacket.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Advanced mean field methods.
Cambridge, Mass. : MIT Press, ©2001
(DLC) 00053322
(OCoLC)45325073
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Manfred Opper; David Saad
ISBN: 0585417725 9780585417721 0262281058 9780262281058 0262150549 9780262150545
OCLC Number: 50413963
Description: 1 online resource (xiii, 273 pages) : illustrations.
Contents: 1. Introduction / Manfred Opper and David Saad --
2. From Naive Mean Field Theory to the TAP Equations / Manfred Opper and Ole Winther --
3. An Idiosyncratic Journey Beyond Mean Field Theory / Jonathan S. Yedidia --
4. Mean Field Theory for Graphical Models / Hilbert J. Kappen and Wim J. Wiegerinck --
5. The TAP Approach to Intensive and Extensive Connectivity Systems / Yoshiyuki Kabashima and David Saad --
6. TAP For Parity Check Error Correcting Codes / David Saad, Yoshiyuki Kabashima and Renato Vicente --
7. Adaptive TAP Equations / Manfred Opper and Ole Winther --
8. Mean-field Theory of Learning: From Dynamics to Statics / K.Y. Michael Wong, S. Li and Peixun Luo.
Series Title: Neural information processing series.
Responsibility: edited by Manfred Opper and David Saad.

Abstract:

This book covers the theoretical foundations of advanced mean field methods, explores the relation between the different approaches, examines the quality of the approximation obtained, and  Read more...

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"This book provides an extremely valuable treatment of mean field methods and their application to problems in probabilistic inference and learning."--Lawrence Saul, Principal Technical Staff Member, Read more...

 
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