loading...
Incompletely specified probabilistic networks
Hawaii, USA January 04-January 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.37561428th Hawaii International Conference ...
 This Article 
 
PURCHASE ARTICLE: $0
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
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
Usage of this product signifies your acceptance of the Terms of Use.