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28th Hawaii International Conference on System Sciences (HICSS'95)
Hawaii, USA
January 04-January 07
ISBN: 0-8186-6940-3
S.F. Roehrig, Heinz Sch., Carnegie Mellon Univ., Pittsburgh, PA, USA
Probabilistic networks, used as an adjunct or alternative to the logical models used in AI and DSS, offer a way to compactly represent a distribution over a set of random variables. Nonetheless, the specification of a given network may require conditional probabilities which are simply unavailable. A means for analyzing incompletely specified networks is presented, and some general rules are derived from the application of the method to some simple networks.
Index Terms:
probabilistic logic; inference mechanisms; decision support systems; uncertainty handling; incompletely specified probabilistic networks; AI; logical models; DSS; random variables; conditional probabilities
Citation:
S.F. Roehrig, "Incompletely specified probabilistic networks," hicss, pp.342, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995
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