Lossless Decomposition of Bayesian Networks

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.

• Type: Conference
• Year: 2007
• Where: FLAIRS
• Authors: Dan Wu
• Keywords: Artificial Intelligence, Bayesian Network, Conditional Independency Information, FLAIRS 2007, Single Bayesian Network