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Representation of uncertain knowledge by using a Bayesian network requires the acquisition of a conditional probability table (CPT) for each variable. The CPT can be acquired by data mining or elicitation. When data are insufficient for supporting mining, causal modeling such as the noisy-OR aids elicitation by reducing the number of probability parameters to be acquired from human experts. Multiple...
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