Accession Number : ADP007099
Title : Advances in Probabilistic Reasoning,
Corporate Author : NORTHROP RESEARCH AND TECHNOLOGY CENTER PALOS VERDES PENINSULA CA
Personal Author(s) : Geiger, Dan ; Heckerman, David
Report Date : 1992
Pagination or Media Count : 8
Abstract : This paper discusses multiple Bayesian networks representation paradigms for encoding, asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of asymmetric independence to speed up computations, (2) a simplified definition of similarity networks and extensions of their theory, and (3) a generalized representation scheme that encodes more types of asymmetric independence assertions than do similarity networks.
Descriptors : *REASONING, *PROBABILITY DISTRIBUTION FUNCTIONS, CODING, COMPUTATIONS, NETWORKS, THEORY, VELOCITY, BAYES THEOREM, ASYMMETRY.
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE