An evaluation of factors influencing Bayesian learning systems.
Publication
, Journal Article
Eisenstein, EL; Alemi, F
Published in: Proc Annu Symp Comput Appl Med Care
1993
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.
Duke Scholars
Published In
Proc Annu Symp Comput Appl Med Care
ISSN
0195-4210
Publication Date
1993
Start / End Page
485 / 491
Location
United States
Related Subject Headings
- Prognosis
- Probability
- Models, Theoretical
- Medical Informatics Applications
- Learning
- Humans
- Bayes Theorem
- Artificial Intelligence
Citation
APA
Chicago
ICMJE
MLA
NLM
Eisenstein, E. L., & Alemi, F. (1993). An evaluation of factors influencing Bayesian learning systems. Proc Annu Symp Comput Appl Med Care, 485–491.
Eisenstein, E. L., and F. Alemi. “An evaluation of factors influencing Bayesian learning systems.” Proc Annu Symp Comput Appl Med Care, 1993, 485–91.
Eisenstein EL, Alemi F. An evaluation of factors influencing Bayesian learning systems. Proc Annu Symp Comput Appl Med Care. 1993;485–91.
Eisenstein, E. L., and F. Alemi. “An evaluation of factors influencing Bayesian learning systems.” Proc Annu Symp Comput Appl Med Care, 1993, pp. 485–91.
Eisenstein EL, Alemi F. An evaluation of factors influencing Bayesian learning systems. Proc Annu Symp Comput Appl Med Care. 1993;485–491.
Published In
Proc Annu Symp Comput Appl Med Care
ISSN
0195-4210
Publication Date
1993
Start / End Page
485 / 491
Location
United States
Related Subject Headings
- Prognosis
- Probability
- Models, Theoretical
- Medical Informatics Applications
- Learning
- Humans
- Bayes Theorem
- Artificial Intelligence