The paper considers algorithms for global structures generation in algebraic Bayesian networks. A decremental algorithm for constructing a secondary structure after deleting vertex from the adjacency graph is proposed supplemented by a listing of the algorithm code and by the proof of its correctness. The results of the statistical tests for decremental algorithm are proposed graphically together with a comparative analysis of the results. Moreover, the description of incremental algorithm for adding vertex in tertiary structure is provided supplemented by a listing of the algorithm code and proof of its correctness.

Original languageEnglish
Title of host publicationProceedings of the 1st International Scientific Conference Intelligent Information Technologies for Industry, IITI 2016
EditorsAjith Abraham, Sergey Kovalev, Valery Tarassov, Vaclav Snasel
PublisherSpringer Nature
Pages57-67
Number of pages11
ISBN (Print)9783319338156
DOIs
StatePublished - 1 Jan 2016
Event1st International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2016 - Sochi, Russian Federation
Duration: 16 May 201621 May 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume451
ISSN (Print)2194-5357

Conference

Conference1st International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2016
Country/TerritoryRussian Federation
CitySochi
Period16/05/1621/05/16

    Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

    Research areas

  • Incremental algorithm, Joint graph, Machine learning, Performance statistical estimate, Probabilistic graphical model, Structure learning

ID: 36985505