Bayesian networks are excellent tools for modeling knowledge, especially in realistic situations where there is incomplete domain awareness. Given reasonably accurate causal relationships between variables, a Bayesian network can determine the most likely state of unobserved variables in a system. Bayesian networks are used in a wide variety of applications, including textual analysis, image processing, consumer credit scoring systems, and other decision support systems. Until recently, open ...
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