Dynamic Importance Sampling in Bayesian Networks Based on Probability Trees
In this paper we introduce a new dynamic importance sampling propagation algorithm for Bayesian networks. Importance sampling is based on using an auxiliary sampling distribution from which a set of con gurations of the variables in the network is drawn, and the performance of the algorithm depends...
| Auteurs principaux: | , |
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| Format: | info:eu-repo/semantics/article |
| Langue: | English |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | http://hdl.handle.net/10835/4893 https://doi.org/10.1016/j.ijar.2004.05.005 |