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Trudy SPIIRAN, 2008, Issue 6, Pages 131–139
(Mi trspy328)
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This article is cited in 3 scientific papers (total in 3 papers)
Matrix-vector equations for local probabilistic logic inference in algebraic Bayesian network
A. V. Sirotkin, A. L. Tulupyev St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
Probabilistically uncertain knowledge patterns processing in intellectual decision support systems falls into three kinds of probabilistic-logic inference, such as reconciliation, a priori and a posteriori inference. The paper presents formulae that allow for putting the process down in terms of matrix-vector language.
Citation:
A. V. Sirotkin, A. L. Tulupyev, “Matrix-vector equations for local probabilistic logic inference in algebraic Bayesian network”, Tr. SPIIRAN, 6 (2008), 131–139
Linking options:
https://www.mathnet.ru/eng/trspy328 https://www.mathnet.ru/eng/trspy/v6/p131
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