A Bayesian Method for Constructing Bayesian Belief Networks from Databases

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.

Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)