Lossless Decomposition of Bayesian Networks

Dan Wu

In this paper, we study the problem of information preservation when decomposing a single Bayesian network into a set of smaller Bayesian networks. We present a method that losslessly decomposes a Bayesian network so that no conditional independency information is lost and no extraneous conditional independency information is introduced during the decomposition.

Subjects: 3.4 Probabilistic Reasoning; 9. Foundational Issues

Submitted: Feb 11, 2007


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