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Efficient belief propagation in second-order Bayesian networks for singly-connected graphs.
- Source :
-
International Journal of Approximate Reasoning . Feb2018, Vol. 93, p132-152. 21p. - Publication Year :
- 2018
-
Abstract
- Second-order Bayesian networks extend Bayesian networks by incorporating uncertainty in the conditional probabilities. This paper develops a method for inference in a binary second-order Bayesian network with a singly-connected graph that builds upon the message-passing algorithm for regular belief propagation by leveraging recent developments in subjective logic. The method applies the moment-matching approach to the Beta representation of the uncertain probabilities. We provide experimental analysis which shows that the introduced method effectively captures the bounds for the actual error in a consistent manner and, at the same time, does not decrease the efficiency of the performance compared to the other similar approaches. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0888613X
- Volume :
- 93
- Database :
- Academic Search Index
- Journal :
- International Journal of Approximate Reasoning
- Publication Type :
- Periodical
- Accession number :
- 127387358
- Full Text :
- https://doi.org/10.1016/j.ijar.2017.10.031