Discussion
Which independence assumption underlies the noisy-or parameterisation?
Answer: B
Noisy-or gives each parent its own inhibition probability and multiplies them, so the effect is absent only when every present cause is independently inhibited. That reduces a table exponential in the parents to one number per parent. Additive combination, output noise and exclusivity are different models. The saving is why noisy-or appears in almost every large diagnostic network built by hand.
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