Simulation Approaches to General Probabilistic Inference on Belief Networks-Reference-Cited by-同舟云学术

Simulation Approaches to General Probabilistic Inference on Belief Networks

Published:1990 Issue: Volume: Page:221-231
ISSN:0923-0459
Container-title:Uncertainty in Artificial Intelligence
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Author:

Shachter Ross D.,Peot Mark A.

Publisher

Elsevier

Reference19 articles.

1. Berzuini, C., Bellazzi, R., and Quaglini, S. (1990). Temporal reasoning with probabilities. In this volume.

2. Chavez, R. M. (1990). Hypermedia and randomized algorithms for probabilistic expert systems. Ph.D. Thesis, Computer Science Department, Stanford University.

3. Chavez, R. M. and Cooper, G. F. (1990). An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. In this volume.

4. Bayesian Belief Network Inference Using Simulation;Chin,1989

5. Cooper, G. F. (1984). NESTQR: A ccmputer-based medical diagnostic aid that integrates causal and probabilistic knowledge. Ph.D. Thesis, Computer Science Department, Stanford University.

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