Representing and Combining Partially Specified CPTs
Artificial Intelligence
2013-01-30 v1
Abstract
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.
Cite
@article{arxiv.1301.6717,
title = {Representing and Combining Partially Specified CPTs},
author = {Suzanne M. Mahoney and Kathryn Blackmond Laskey},
journal= {arXiv preprint arXiv:1301.6717},
year = {2013}
}
Comments
Appears in Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence (UAI1999)