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Belief Propagation in Loopy Bayesian Networks: Experimental Results

Horn, Gavin B. and McEliece, Robert J. (1997) Belief Propagation in Loopy Bayesian Networks: Experimental Results. In: 1997 IEEE International Symposium on Information Theory, Proceedings. IEEE , Piscataway, N.J., p. 232. ISBN 0-7803-3956-8.

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We investigate the hypothesis that belief propagation “converges with high probability to the correct decision” on a broad class of loopy belief networks. Experimental results of belief propagation on bipartite graphs, which are the belief networks for turbo codes, are presented.

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Additional Information:© 1997 IEEE. Date of Current Version: 06 August 2002. This work was partially supported by an NSERC Scholarship. This work was partially supported by NSF grant no. NCR-9505975, and a grant from Pacific Bell. Part of McEliece’s work was performed at Caltech’s JPL, under contract to NASA.
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INSPEC Accession Number5842007
Record Number:CaltechAUTHORS:20120120-073411865
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Official Citation:Horn, G.B.; McEliece, R.J.; , "Belief propagation in loopy Bayesian networks: experimental results ," Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on , vol., no., pp.232, 29 Jun-4 Jul 1997 doi: 10.1109/ISIT.1997.613147 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:28877
Deposited By: Ruth Sustaita
Deposited On:20 Jan 2012 16:34
Last Modified:09 Nov 2021 17:01

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