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pro vyhledávání: '"Roman Baranenko"'
Autor:
Iryna Lurie, Ulzhalgas Zhunissova, Roman Baranenko, Mariia Voronenko, Oleg Boskin, Volodymyr Lytvynenko
Publikováno v:
2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT).
In this paper, we propose a methodology for using static Bayesian networks (BN) in the tasks of predicting the development of the children’s disease “autism” aged 4 to 11 years. Methods of constructing the structure of a static BN, parametric l
Autor:
Roman Baranenko, Nataliia Savina, Ivan Lopushynskyi, Mariia Voronenko, Nataliia Krugla, Anna Pashnina, Volodymyr Lytvynenko
Publikováno v:
IDAACS
The article is devoted to the information technology of using dynamic Bayesian networks (DBN) for assessing and modeling the quality of law enforcement agencies' work. A DBN model has been developed for analyzing and predicting the criminal situation
Autor:
Marian Pyrtko, Mariia Voronenko, Roman Baranenko, Nataliia Savina, Volodymyr Lytvynenko, Ivan Lopushynskyi
Publikováno v:
ACIT
The paper proposes a methodology for using static Bayesian networks (BN) to assess the factors influencing the assessment of the quality of the national law enforcement agencies work. The methods for constructing the BN structure, their parametric le