A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product-Reference-Cited by-同舟云学术

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A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Advanced Computer Information Technologies (ACIT)
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Author:

Voronenko Mariia¹,Mikhailova Elizaveta²,Savina Nataliia²,Lurie Iryna¹,Lytvynenko Volodymyr¹

Affiliation:

1. Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine

2. National University of Water and Environmental Engineering,Department of Economic Theories,Rivne,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275066/10275327/10275641.pdf?arnumber=10275641

Reference25 articles.

1. Learning equivalence classes of Bayesian network structures;chickering;Journal of Machine Learning Research,2002

2. Irregular-time Bayesian networks;ramati;In Proceedings of the 26th European Conference on Uncertainty in Artificial Intelligence,2010

3. A continuous time Bayesian network model for cardiogenic heart failure, Flexible Serv;gatti;J Des Manuf,2012

4. Hybrid Time Bayesian Networks

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