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Trudy SPIIRAN, 2007, Issue 5, Pages 100–111
(Mi trspy302)
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This article is cited in 4 scientific papers (total in 4 papers)
Local a priori inference in algebraic Bayesian network: a set of basic algorithms
A. V. Sirotkin, A. L. Tulupyev St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
A priori inference is a key feature in intellectual decision support systems based on imperfect probabilistic knowledge. The paper describes a set of local a priori inference algorithms in algebraic Bayesian networks.
Citation:
A. V. Sirotkin, A. L. Tulupyev, “Local a priori inference in algebraic Bayesian network: a set of basic algorithms”, Tr. SPIIRAN, 5 (2007), 100–111
Linking options:
https://www.mathnet.ru/eng/trspy302 https://www.mathnet.ru/eng/trspy/v5/p100
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