A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System
Jaap Suermondt, Gregory Cooper, David Heckerman
Cutset conditioning and clique-tree propagation are two popular methods for performing exact probabilistic inference in Bayesian belief networks. Cutset conditioning is based on decomposition of a subset of network nodes, whereas clique-tree propagation depends on aggregation of nodes. We describe a means to combine cutset conditioning and clique- tree propagation in an approach called aggregation after decomposition (AD). We discuss the application of the AD method in the Pathfinder system, a medical expert system that offers assistance with diagnosis in hematopathology.
PDF Link: /papers/90/
AUTHOR = "Jaap Suermondt
and Gregory Cooper and David Heckerman",
TITLE = "A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System",
BOOKTITLE = "Uncertainty in Artificial Intelligence 6 Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1990",
PAGES = "245--253"