27 citations · 42 across the 3 of their papers we have counts for
3 papers · 1 filter
Updating Probabilities in Multiply-Connected Belief Networks
Jaap Suermondt, Gregory F. Cooper
This paper focuses on probability updates in multiply-connected belief networks. Pearl has designed the method of conditioning, which enables us to apply his algorithm for belief u…
Bounded Conditioning: Flexible Inference for Decisions under Scarce Resources
Eric J. Horvitz, Jaap Suermondt, Gregory F. Cooper
We introduce a graceful approach to probabilistic inference called bounded conditioning. Bounded conditioning monotonically refines the bounds on posterior probabilities in a belie…
A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System
Jaap Suermondt, Gregory F. 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 de…