An evaluation of factors influencing Bayesian learning systems.


Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Eisenstein, EL; Alemi, F

Published Date

  • 1993

Published In

Start / End Page

  • 485 - 491

PubMed ID

  • 8130520

Pubmed Central ID

  • 8130520

International Standard Serial Number (ISSN)

  • 0195-4210


  • eng

Conference Location

  • United States