28th Hawaii International Conference on System Sciences (HICSS'95) Hawaii, USA January 04-January 07 ISBN: 0-8186-6940-3
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||