2013/01/23 by Suzanne M. Mahoney, Mahoney, Suzanne M., Kathryn Blackmond Laskey +1
Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.1301.6717
openalex publication_date 2013/01/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper extends previous work with network fragments and situation-specific network construction. We formally define the asymmetry network, an alternative representation for a conditional probability table. We also present an object-oriented representation for partially specified asymmetry networks. We show that the representation is parsimonious. We define an algebra for the elements of the representation that allows us to 'factor' any CPT and to soundly combine the partially specified asymmetry networks.