Testing Implication of Probabilistic Dependencies
Artificial Intelligence
2013-02-18 v1
Abstract
Axiomatization has been widely used for testing logical implications. This paper suggests a non-axiomatic method, the chase, to test if a new dependency follows from a given set of probabilistic dependencies. Although the chase computation may require exponential time in some cases, this technique is a powerful tool for establishing nontrivial theoretical results. More importantly, this approach provides valuable insight into the intriguing connection between relational databases and probabilistic reasoning systems.
Cite
@article{arxiv.1302.3610,
title = {Testing Implication of Probabilistic Dependencies},
author = {Michael S. K. M. Wong},
journal= {arXiv preprint arXiv:1302.3610},
year = {2013}
}
Comments
Appears in Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence (UAI1996)