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From: jair-ed@ptolemy.arc.nasa.gov
Subject: New Article, Mean Field Theory for ...
Message-ID: <1996Mar7.021638.24123@ptolemy-ethernet.arc.nasa.gov>
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Date: Thu, 7 Mar 1996 02:16:38 GMT
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JAIR is pleased to announce the publication of the following article:

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).
   For quick access via your WWW browser, use this URL:
     http://www.cs.washington.edu/research/jair/abstracts/saul96a.html
   More detailed instructions are below.

   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.

The article is available via:
   
 -- comp.ai.jair.papers (also see comp.ai.jair.announce)

 -- World Wide Web: The URL for our World Wide Web server is
       http://www.cs.washington.edu/research/jair/home.html
    For direct access to this article and related files try:
       http://www.cs.washington.edu/research/jair/abstracts/saul96a.html

 -- Anonymous FTP from either of the two sites below.

    Carnegie-Mellon University (USA):
	ftp://p.gp.cs.cmu.edu/usr/jair/pub/volume4/saul96a.ps
    The University of Genoa (Italy):
	ftp://ftp.mrg.dist.unige.it/pub/jair/pub/volume4/saul96a.ps

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

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