Inference in Bayesian Networks

Authors

  • Bruce D'Ambrosio

DOI:

https://doi.org/10.1609/aimag.v20i2.1454

Abstract

A Bayesian network is a compact, expressive representation of uncertain relationships among parameters in a domain. In this article, I introduce basic methods for computing with Bayesian networks, starting with the simple idea of summing the probabilities of events of interest. The article introduces major current methods for exact computation, briefly surveys approximation methods, and closes with a brief discussion of open issues.

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Published

1999-06-15

How to Cite

D’Ambrosio, B. (1999). Inference in Bayesian Networks. AI Magazine, 20(2), 21. https://doi.org/10.1609/aimag.v20i2.1454

Issue

Section

Articles