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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.

Keywords

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)

R2 v1 2026-06-21T23:26:36.161Z