A Bayesian method for constructing Bayesian belief networks from databases

Cooper GF, Herskovits EH. A Bayesian method for constructing Bayesian belief networks from databases. In: Proceedings of the Conference on Uncertainty in Artificial Intelligence (1991) 86–94.

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

Publication Year: 
1991
Faculty Author: 
Publication Credits: 
Cooper GF, Herskovits EH.
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