Loopy Belief Propagation for Approximate Inference: An Empirical Studypp. 467-475.
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AbstractRecently, a number of researchers have demonstrated excellent performance by using "loopy belief propagation" --- using Pearl's polytree algorithm in a Bayesian network with loops. The most dramatic instance is the near Shannon-limit performance of "Turbo Codes" --- error-correcting codes whose decoding algorithm is equivalent to loopy belief propagation. In this paper we ask: is there something special about the error-correcting code context, or does loopy propagation work as an approximate...
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