A Bayesian Method for Constructing Bayesian Belief Networks from Databases
Preprint
- 20 March 2013
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.Keywords
All Related Versions
This publication has 0 references indexed in Scilit: