Assessing Credibility in Bayesian Networks Structure Learning
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DOI: 10.3390/e26100829
Abstract: Learning Bayesian networks from data aims to create a Directed Acyclic Graph that encodes significant statistical relationships between variables and their joint probability distributions. However, when using real-world data with limited knowledge of the original… read more here.
Keywords: credibility; bayesian networks; credibility bayesian; networks structure ... See more keywords