Advances in Probabilistic Reasoning

03/20/2013
by   Dan Geiger, et al.
0

This paper discuses 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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset