Software implementation of reconciliation algorithms in algebraic Bayesian networks

Nikita A. Kharitonov, Alexander L. Tulupyev, Andrey A. Zolotin

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

7 Scopus citations

Abstract

Algorithms for algebraic Bayesian networks external and internal consistency maintenance are considered in the paper. An implementation of classes' structure representing algebraic Bayesian networks is proposed. The main approaches used in the consistency algorithms implementation as well as use cases of developed methods are provided. The proposed structure can later be re-used in the global inference algorithms implementation.

Original languageEnglish
Title of host publicationProceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
EditorsS. Shaposhnikov
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8-10
Number of pages3
ISBN (Electronic)9781538618103
DOIs
StatePublished - 6 Jul 2017
Event20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 - St. Petersburg, Russian Federation
Duration: 24 May 201726 May 2017

Conference

Conference20th IEEE International Conference on Soft Computing and Measurements, SCM 2017
CountryRussian Federation
CitySt. Petersburg
Period24/05/1726/05/17

Scopus subject areas

  • Management Science and Operations Research
  • Control and Optimization
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Modelling and Simulation

Keywords

  • algebraic Bayesian networks
  • algprobabilistic graphical model
  • consistency check
  • machine learning

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