An Improved LAZY-AR Approach to Bayesian Network Inference-Reference-Cited by-同舟云学术

An Improved LAZY-AR Approach to Bayesian Network Inference

Published:2006 Issue: Volume: Page:183-194
ISSN:0302-9743
Container-title:Advances in Artificial Intelligence
language:
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Author:

Butz C. J.,Hua S.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11766247_16

Reference19 articles.

1. Castillo, E., Gutiérrez, J., Hadi, A.: Expert Systems and Probabilistic Network Models. Springer, New York (1997)

2. Hájek, P., Havránek, T., Jiroušek, R.: Uncertain Information Processing in Expert Systems. CRC Press, Ann Arbor (1992)

3. Jensen, F.V., Lauritzen, S.L., Olesen, K.G.: Bayesian updating in causal probabilistic networks by local computations. Comp. St. Q. 4, 269–282 (1990)

4. Kjaeulff, U., Madsen, A.L.: Probabilistic Networks - An Introduction to Bayesian Networks and Influence Diagrams, p. 133 ( unpublished, 2005)

5. Lauritzen, S.L., Spiegelhalter, D.J.: Local computations with probabilities on graphical structures and their application to expert systems. J. Roy. Statistical Society, B 50(2), 157–224 (1988)

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