AAAI Publications, The Twenty-Ninth International Flairs Conference

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Bayesian Network Inference with Simple Propagation
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, Anders L. Madsen

Last modified: 2016-03-30


We propose Simple Propagation (SP) as a new join tree propagation algorithm for exact inference in discrete Bayesian networks. We establish the correctness of SP. The striking feature of SP is that its message construction exploits the factorization of potentials at a sending node, but without the overhead of building and examining graphs as done in Lazy Propagation (LP). Experimental results on numerous benchmark Bayesian networks show that SP is often faster than LP.


Bayesian networks; inference; join tree propagation

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