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A Model for Non-Monotonic Reasoning Using Dempster's Rule
More recently an e-calculus formulation of default reasoning (J. Pearl) shows that the application of Dempster's rule to a non-monotonic situation produces erroneous results.
Using Belief Functions for Uncertainty Management and Knowledge Acquisition: An Expert Application
This paper describes recent work on an ongoing project in medical diagnosis at the University of Guelph.
Experiments Using Belief Functions and Weights of Evidence incorporating Statistical Data and Expert Opinions
This paper presents some ideas and results of using uncertainty management methods in the presence of data in preference to other statistical and machine learning methods.
Induction and Uncertainty Management Techniques Applied to Veterinary Medical Diagnosis
This paper discusses a project undertaken between the Departments of Computing Science, Statistics, and the College of Veterinary Medicine to design a medical diagnostic system.
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