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• W29529361 abstract "In this paper we contribute two methods that simplify the demands of knowledge elicitation for particular types of Bayesian networks. The first method simplify the task of providing probabilities when the states that a random variable takes can be described by a new, fully ordered state set in which a state implies all the preceding states. The second method leverages Dempster-Shafer theory of evidence to provide a way for the expert to express the degree of ignorance that they feel about the estimates being provided." @default.
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• W29529361 date "2011-04-16" @default.
• W29529361 modified "2023-09-24" @default.
• W29529361 title "Simplifying Probability Elicitation and Uncertainty Modeling in Bayesian Networks" @default.
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