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Abductive inference in Bayesian belief networks using swarm intelligence
2012
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
Abductive inference in Bayesian belief networks, also known as most probable explanation (MPE) or finding the maximum a posterior instantiation (MAP), is the task of finding the most likely joint assignment to all of the (nonevidence) variables in the network. In this paper, a novel swarm intelligence-based algorithm is introduced that efficiently finds the k MPEs of a Bayesian network. Our swarm-based algorithm is compared with two state-of-the-art genetic algorithms, and the results show that
doi:10.1109/scis-isis.2012.6505074
dblp:conf/scisisis/PillaiS12
fatcat:uqkftqygwrb6xjoppwuqh6vgly