Instructor: Thierry Denoeux

Description: This is an introductory course on belief functions, with focus on data analysis, machine learning and statistical inference.

Slides

1. Representation and combination of evidence
2. Classification
3. Clustering

Exercises

1. Representation and combination of evidence
2. Classification

Papers

1. T. Denoeux. A k-nearest neighbor classification rule based on Dempster-Shafer theory. IEEE Transactions on Systems, Man and Cybernetics, 25(05):804-813, 1995.

R code

1. Behrens-Fisher example