Various belief operations tell the belief nodes in the inference network how to score (or if to even score) various terms. The belief operations are:
|combine||#combine(dog train)||0.5 log( b(dog) ) + 0.5 log( b(train) )|
|weight, weighted and||#weight(1.0 dog 0.5 train)||0.67 log( b(dog) ) + 0.33 log( b(train) )|
|weighted sum||#wsum(1.0 dog 0.5 dog.(title))||log( 0.67 b(dog) + 0.33 b(dog.(title)) )|
|not||#not(dog)||log( 1 - b(dog) )|
|max||#max(dog train)||returns maximum of b(dog) and b(train)|
|or||#or(dog cat)||log(1 - (1 - b(dog)) * (1 - b(cat)))|
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