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An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference
Using standard methods drawn from the theory of computational complexity, workers in the field have shown that the problem of probabilistic inference in belief networks is difficult and almost certainly intractable.
A Randomized Approximation Algorithm of Logic Sampling
In recent years, researchers in decision analysis and artificial intelligence (AI) have used Bayesian belief networks to build models of expert opinion.
KNET: Integrating Hypermedia and Bayesian Modeling
KNET is a general-purpose shell for constructing expert systems based on belief networks and decision networks.
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