Paper Info
Title
An empirical comparison of three inference methods
Abstract
In this paper, an empirical evaluation of three inference methods for uncertain reasoning is presented in the context of Pathfinder, a large expert system for the diagnosis of lymph-node pathology. The inference procedures evaluated are (1) Bayes' theorem, assuming evidence is conditionally independent given each hypothesis; (2) odds-likelihood updating, assuming evidence is conditionally independent given each hypothesis and given the negation of each hypothesis; and (3) a inference method related to the Dempster-Shafer theory of belief. Both expert-rating and decision-theoretic metrics are used to compare the diagnostic accuracy of the inference methods.
Year
DOI
Venue
2013
10.1016/B978-0-444-88650-7.50027-5
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Keywords
Field
DocType
empirical comparison,inference method
Frequentist inference,Bayesian inference,Conditional independence,Inference,Computer science,Fiducial inference,Predictive inference,Artificial intelligence,Machine learning,Statistical hypothesis testing,Bayes' theorem
Journal
Volume
ISBN
Citations 
abs/1304.2357
0-444-88650-8
18
PageRank 
References 
Authors
2.34
4
1
Name
Order
Citations
PageRank
David Heckerman169511419.21