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...
| 主要な著者: | , |
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| フォーマット: | info:eu-repo/semantics/article |
| 言語: | English |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | http://hdl.handle.net/10835/4893 https://doi.org/10.1016/j.ijar.2004.05.005 |