For learning and communicating the knowledge contained within a Bayes net, it is useful to indicate a “confidence” in the conditional probabilities it contains, so that one knows how much to change them when new information about them becomes known.  That confidence is called the experience, and it is calibrated to be equivalent to seeing a certain number of relevant cases. Sometimes this is called the “equivalent sample size”. More Info

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