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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337

Volumes:
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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v34.i6.40
5 pages

Learning on Bayesian Networks

Alexandra A. Vagis
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine

ABSTRAKT

Learning procedures on Bayesian networks are studied on the basis of beta and Dirichlet distributions.


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