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    JMLR
    2006
    105views more  JMLR 2006»
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
    13 years 4 months ago
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
    Download  jmlr.csail.mit.edu
    We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
    David Barber
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    CORR
    2012
    Springer
    170views Education» more  CORR 2012»
    What Cannot be Learned with Bethe Approximations
    12 years 17 days ago
    What Cannot be Learned with Bethe Approximations
    Download  www.cs.huji.ac.il
    We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
    Uri Heinemann, Amir Globerson
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    JMLR
    2010
    141views more  JMLR 2010»
    FastInf: An Efficient Approximate Inference Library
    12 years 11 months ago
    FastInf: An Efficient Approximate Inference Library
    Download  jmlr.csail.mit.edu
    The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
    Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
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    CORR
    2008
    Springer
    104views Education» more  CORR 2008»
    A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
    13 years 4 months ago
    A Variational Inference Framework for Soft-In-Soft-Out Detection in Multiple Access Channels
    Download  www.comm.utoronto.ca
    We propose a unified framework for deriving and studying soft-in soft-out (SISO) detection in multiple-access channels using the concept of variational inference. The proposed fram...
    Darryl Dexu Lin, Teng Joon Lim
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    CISS
    2007
    IEEE
    159views Information Technology» more  CISS 2007»
    Energy Efficient Routing for Statistical Inference of Markov Random Fields
    13 years 8 months ago
    Energy Efficient Routing for Statistical Inference of Markov Random Fields
    Download  acsp.ece.cornell.edu
    The problem of routing of sensor observations for optimal detection of a Markov random field (MRF) at a designated fusion center is analyzed. Assuming that the correlation structur...
    Animashree Anandkumar, Lang Tong, Ananthram Swami
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