An expert system for coherent assessment of probabilities in multigraph models


In this paper, we present a method that allows a coherent assessment of probabilistic Bayesian networks over sets of nodes or variables that share a common subset. We motivate and illustrate the models with a diseases-symptoms knowledge base defined by multiple Bayesian networks. Since the parameter values for the joint probability distribution of diseases… (More)
DOI: 10.1002/(SICI)1097-0037(199905)33:3%3C193::AID-NET6%3E3.0.CO;2-G


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