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Trudy SPIIRAN, 2012, Issue 23, Pages 343–356
(Mi trspy556)
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This article is cited in 3 scientific papers (total in 3 papers)
Posteriori inference in tertiary polystructure of an algebraic Bayesian network
K. V. Frolenkov, A. A. Fil'chenkov, A. L. Tulupyev St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
There exist algorithms for determining the possibility of building an acyclic secondary structure of the network for its primary structure, and hence the possibility for effective carrying out of the posterior inference in the theory of algebraic Bayesian networks. Their presence allowed the introduction of a global posteriori algorithm for probabilistic inference, not based on the secondary structure. The coincidence of the results of using this algorithm and the known propagation algorithm using virtual evidences on the joint graph is proved for the case of scalar probability estimates.
Keywords:
algebraic Bayesian networks, probabilistic graphical knowledge models, logical and probabilistic inference, tertiary polystructure.
Received: 28.11.2012
Citation:
K. V. Frolenkov, A. A. Fil'chenkov, A. L. Tulupyev, “Posteriori inference in tertiary polystructure of an algebraic Bayesian network”, Tr. SPIIRAN, 23 (2012), 343–356
Linking options:
https://www.mathnet.ru/eng/trspy556 https://www.mathnet.ru/eng/trspy/v23/p343
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Abstract page: | 211 | Full-text PDF : | 85 | References: | 46 | First page: | 1 |
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