Advances in Probabilistic Reasoning,
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1992
- Accession Number
- ADP007099
Entities
People
- Dan Geiger
- David Heckerman