Independence Semantics for BKBs
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چکیده
Bayesian Knowledge Bases BKB are a rule based probabilistic model that extend Bayes Net works BN by allowing context sensitive independence and cycles in the directed graph BKBs have probabilistic semantics but lack independence semantics i e a graph based scheme determin ing what independence statements are sanctioned by the model Such a semantics is provided through generalized d separation by constructing an equivalent BN Although useful for showing correctness the construction is not practical for decision algorithms due to its exponential size Some results for special cases where independence can be determined from polynomial time tests on the BKB graph are presented
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Independence Semantics for BKBs
Bayesian Knowledge Bases (BKB) are a rule-based probabilistic model that extend Bayes Networks (BN), by allowing context-sensitive independence and cycles in the directed graph. BKBs have probabilistic semantics, but lack independence semantics, i.e., a graphbased scheme determining what independence statements are sanctioned by the model. Such a semantics is provided through generalized dsepar...
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