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.
Cite
Text
Cooper and Herskovits. "A Bayesian Method for Constructing Bayesian Belief Networks from Databases." Conference on Uncertainty in Artificial Intelligence, 1991.Markdown
[Cooper and Herskovits. "A Bayesian Method for Constructing Bayesian Belief Networks from Databases." Conference on Uncertainty in Artificial Intelligence, 1991.](https://mlanthology.org/uai/1991/cooper1991uai-bayesian/)BibTeX
@inproceedings{cooper1991uai-bayesian,
title = {{A Bayesian Method for Constructing Bayesian Belief Networks from Databases}},
author = {Cooper, Gregory F. and Herskovits, Edward H.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1991},
url = {https://mlanthology.org/uai/1991/cooper1991uai-bayesian/}
}