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Abstract: Probabilistic graphs, such as Bayesian belief networks, are useful tools for coherent representation of uncertain knowledge. They are based on the sound foundations of probability theory and they readily combine available frequency data with expert assessments. When extended with measures of desirability of outcomes, utilities, they support decision making. This paper describes our work in progress on application of Bayesian belief networks to diagnosis of liver disorders. We discuss our... (Update)
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BibTeX entry: (Update)
@misc{ poland-proceedings,
author = "Pages Kule Poland",
title = "In Proceedings of the Third Conference on Neural Networks and Their Applications,",
url = "citeseer.ist.psu.edu/638608.html" }
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