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pro vyhledávání: '"Natalya Litvinenko"'
Autor:
Assem Shayakhmetova, Natalya Litvinenko, Orken Mamyrbayev, Waldemar Wójcik, Dusmat Zhamangarin
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 67, Iss No 2, Pp 181-186 (2021)
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 networ
Externí odkaz:
https://doaj.org/article/a424d16acd174daba04266b69a7b8330
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 9, Iss 3 (2019)
This paper focuses on the study of some aspects of the theory of oriented graphs in Bayesian networks. In some papers on the theory of Bayesian networks, the concept of “Generation of vertices” denotes a certain set of vertices with many parents
Externí odkaz:
https://doaj.org/article/5b450e6d518943efa6a9d9391c481a98
Publikováno v:
PRZEGLĄD ELEKTROTECHNICZNY. 1:94-99
Publikováno v:
ITM Web of Conferences, Vol 24, p 01013 (2019)
There are various methods of objects’ clusterization used in different areas of machine learning. Among the vast amount of clusterization methods, the K-means method is one of the most popular. Such a method has as pros as cons. Speaking about the