[UAI] book announcement - Advanced Mean Field Methods Theory and Practice

From: Jud Wolfskill (wolfskil@mit.edu)
Date: Thu Aug 23 2001 - 10:40:27 PDT

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    I thought readers of the Uncertainty in AI List might be interested in this
    book. For more information please visit
     
    http://mitpress.mit.edu/catalog/item/default.asp?sid=5CEC3656-296C-4C48-B6E3-6BDFAC7EBADD&ttype=2&tid=3847

    Advanced Mean Field Methods Theory and Practice
    edited by Manfred Opper and David Saad

    A major problem in modern probabilistic modeling is the huge computational
    complexity involved in typical calculations with multivariate probability
    distributions when the number of random variables is large. Because exact
    computations are infeasible in such cases and Monte Carlo sampling
    techniques may reach their limits, there is a need for methods that allow
    for efficient approximate computations. One of the simplest approximations
    is based on the mean field method, which has a long history in statistical
    physics. The method is widely used, particularly in the growing field of
    graphical models.

    Researchers from disciplines such as statistical physics, computer science,
    and mathematical statistics are studying ways to improve this and related
    methods and are exploring novel application areas. Leading approaches
    include the variational approach, which goes beyond factorizable
    distributions to achieve systematic improvements; the TAP
    (Thouless-Anderson-Palmer) approach, which incorporates correlations by
    including effective reaction terms in the mean field theory; and the more
    general methods of graphical models.

    Bringing together ideas and techniques from these 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.

    Manfred Opper is a Reader and David Saad is Professor, the Neural Computing
    Research Group, School of Engineering and Applied Science, Aston
    University, UK.

    7 x 10, 300 pp.
    cloth ISBN 0-262-15054-9
    Neural Information Processing series

    Jud Wolfskill
    Associate Publicist
    MIT Press
    5 Cambridge Center, 4th Floor
    Cambridge, MA 02142
    617.253.2079
    617.253.1709 fax
    wolfskil@mit.edu



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