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Proc Annu Symp Comput Appl Med Care. 1993 : 485–491.
PMCID: PMC2850625

An evaluation of factors influencing Bayesian learning systems.

Abstract

This paper examines the influences of situational and model factors upon the accuracy of Bayesian learning systems. In particular, it is concerned with the impact of variations in training sample size, number of attributes, choice of Bayesian model, and criteria for excluding model attributes upon the overall accuracy of the simple and proper Bayes models.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.
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Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association