Algebraic bayesian networks: The use of parallel computing while maintaining various degrees of consistency

Nikita A. Kharitonov, Anatoly G. Maximov, Alexander L. Tulupyev

Research output

1 Citation (Scopus)

Abstract

This paper presents approaches to parallelization of algorithms for maintaining external and internal consistency in algebraic Bayesian networks as one of the representatives of probabilistic graphical models. The algorithms modified based on these approaches are described and presented in the form of schemes.

Original languageEnglish
Title of host publicationRecent Research in Control Engineering and Decision Making
Subtitle of host publicationConference proceedings
EditorsOlga Dolinina, Alexander Brovko, Vitaly Pechenkin, Alexey Lvov, Vadim Zhmud, Vladik Kreinovich
Place of PublicationCham
PublisherSpringer
Pages696-704
ISBN (Electronic)9783030120726
ISBN (Print)9783030120719
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes

Publication series

NameStudies in Systems, Decision and Control
Volume199
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

Cite this

Kharitonov, N. A., Maximov, A. G., & Tulupyev, A. L. (2019). Algebraic bayesian networks: The use of parallel computing while maintaining various degrees of consistency. In O. Dolinina, A. Brovko, V. Pechenkin, A. Lvov, V. Zhmud, & V. Kreinovich (Eds.), Recent Research in Control Engineering and Decision Making : Conference proceedings (pp. 696-704). (Studies in Systems, Decision and Control; Vol. 199). Cham: Springer. https://doi.org/10.1007/978-3-030-12072-6_56