- Tytuł:
- Cycles in Bayesian Networks
- Autorzy:
-
Shayakhmetova, Assem
Litvinenko, Natalya
Mamyrbayev, Orken
Wójcik, Waldemar
Zhamangarin, Dusmat - Powiązania:
- https://bibliotekanauki.pl/articles/1844619.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
Bayesian networks
directed graphs
directed cycles
propagation
Bayesian evidence - Opis:
- The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian network does not allow to efficiently solve most of the problems that contain directed cycles. The modern theory of Bayesian networks prohibits the use of directed cycles. The requirement of acyclicity of the graph can significantly simplify the general theory of Bayesian networks, significantly simplify the development of algorithms and their implementation in program code for calculations in Bayesian networks.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2021, 67, 2; 181-186
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki