A Bayesian Method for Constructing Bayesian Belief Networks from Databases
Artificial Intelligence
2013-03-26 v1
Abstract
This paper presents a Bayesian method for constructing Bayesian belief networks from a database of cases. Potential applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases. We relate the methods in this paper to previous work, and we discuss open problems.
Cite
@article{arxiv.1303.5714,
title = {A Bayesian Method for Constructing Bayesian Belief Networks from Databases},
author = {Gregory F. Cooper and Edward H. Herskovits},
journal= {arXiv preprint arXiv:1303.5714},
year = {2013}
}
Comments
Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)