In the work the local parametric training of Algebraic Bayesian networks is considered. The theorem about the change of Dirichlet distribution parameters during transition from a priori to a posteriori probability distribution on propositional quantum formulas is formulated and proved. The proof is based on the conjugation property of the multinomial and Dirichlet distributions.

Original languageEnglish
Pages (from-to)219-226
Number of pages8
JournalCEUR Workshop Proceedings
Volume2648
StatePublished - 2020
Event2020 "Russian Advances in Artificial Intelligence", RAAI 2020 - Moscow, Russian Federation
Duration: 10 Oct 202016 Oct 2020

    Research areas

  • Algebraic Bayesian networks, Dirichlet distribution, Machine learning, Multinomial distribution, Parametric training, Probabilistic graphical models

    Scopus subject areas

  • Computer Science(all)

ID: 88231323