A combination of cutset conditioning with clique-tree propagation in the pathfinder system
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abstract: Cutset conditioning and clique-tree propagation are two popular methodsfor 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 describea means to combine cutset conditioning and clique-tree propagation in anapproach called AGGREGATION AFTER DECOMPOSITION (AD). We discuss theapplication of the AD method in the Pathfinder system, a medical expert systemthat offers assistance with diagnosis in hematopathology.
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| Abstract | Cutset conditioning and clique-tree propag … Cutset conditioning and clique-tree propagation are two popular methodsfor 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 describea means to combine cutset conditioning and clique-tree propagation in anapproach called AGGREGATION AFTER DECOMPOSITION (AD). We discuss theapplication of the AD method in the Pathfinder system, a medical expert systemthat offers assistance with diagnosis in hematopathology. istance with diagnosis in hematopathology. |
| Author | Henri Jacques Suermondt +, Gregory F. Cooper +, and David Heckerman + |
| Bibtype | inproceedings + |
| Booktitle | Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence + |
| Key | KSL-90-47 + |
| Pages | 245-254 + |
| Publisher | Elsevier Science booktitles + |
| Tag | Computer science + |
| Title | A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System + |
| Tr id | KSL-90-47 + |
| Year | 1992 + |
