A Bayesian Method for Constructing Bayesian Belief Networks from Databases

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

• Venue

  Conference on Uncertainty in Artificial Intelligence

• Publication date

  1991-07-13

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/B978-1-55860-203-8.50015-2arXiv 1303.5714
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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