JAIR article, Mean Field Theory for ...

minton@ISI.EDU minton at ISI.EDU
Wed Mar 6 21:16:20 EST 1996


Readers of this group may be interested in the following article,
which was just published by JAIR:

Saul, L.K., Jaakkola, T. and Jordan, M.I. (1996)
  "Mean Field Theory for Sigmoid Belief Networks", 
   Volume 4, pages 61-76.

   Available in Postscript (302K) and compressed Postscript (123K).
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     http://www.cs.washington.edu/research/jair/abstracts/saul96a.html
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   Abstract: We develop a mean field theory for sigmoid belief networks
   based on ideas from statistical mechanics.  Our mean field theory
   provides a tractable approximation to the true probability
   distribution in these networks; it also yields a lower bound on the
   likelihood of evidence.  We demonstrate the utility of this framework
   on a benchmark problem in statistical pattern recognition---the
   classification of handwritten digits.

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    The compressed PostScript file is named saul96a.ps.Z (123K)

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