An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference

Author:

Chavez R. Martin,Cooper Gregory F.

Publisher

Elsevier

Reference13 articles.

1. The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks;Beinlich,1988

2. A fully polynomial randomized approximation scheme for the Bayesian inferencing problem;Chavez,1989

3. Chavez, R. (1989b). Randomized algorithms for probabilistic expert systems. PhD thesis, Knowledge Systems Laboratory, Stanford University, Stanford, CA. To appear.

4. Bayesian belief network inference using simulation;Chin,1989

5. Probabilistic inference using belief networks is NP-hard;Cooper,1987

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning Bayesian networks: approaches and issues;The Knowledge Engineering Review;2011-05-12

2. Uncertainty analyses in fault trees and Bayesian networks using FORM/SORM methods;Reliability Engineering & System Safety;1999-06

3. Simulation Approaches to General Probabilistic Inference on Belief Networks;Uncertainty in Artificial Intelligence;1990

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