Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya
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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2012, Issue 2, Pages 51–59 (Mi vspui71)  

This article is cited in 1 scientific paper (total in 1 paper)

Applied mathematics

A posteriori probabilistic estimates in algebraic Bayesian networks

A. L. Tulupyevab

a St. Petersburg Institute for Informatics and Automation of RAS
b St. Petersburg State University, Department of Mathematics and Mechanics
Full-text PDF (262 kB) Citations (1)
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Abstract: The paper presents an algorithm for evidence propagation in algebraic Bayesian networks in order to calculate a posteriori probabilistic estimates of network elements. The implicit assumptions that guarantee the correctness of the a posteriori inference algorithm results are discovered and considered.
Keywords: algebraical Bayesian network, knowledge uncertainty, knowledge pattern, a posteriori inference, evidence propagation.

Accepted: February 28, 2012
Document Type: Article
UDC: 004.8
Language: Russian
Citation: A. L. Tulupyev, “A posteriori probabilistic estimates in algebraic Bayesian networks”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 2012, no. 2, 51–59
Citation in format AMSBIB
\Bibitem{Tul12}
\by A.~L.~Tulupyev
\paper A posteriori probabilistic estimates in algebraic Bayesian networks
\jour Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr.
\yr 2012
\issue 2
\pages 51--59
\mathnet{http://mi.mathnet.ru/vspui71}
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  • https://www.mathnet.ru/eng/vspui/y2012/i2/p51
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Вестник Санкт-Петербургского университета. Серия 10. Прикладная математика. Информатика. Процессы управления
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    Abstract page:230
    Full-text PDF :54
    References:38
    First page:5
     
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