章节大纲
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Dates: 9/12 (14h15 - 18h30), Vu-Linh Nguyen
This lecture will provide illustrations of how to use the mathematical elements of the previous lectures to build and assess some probabilistic and credal classifiers.
Objectives of the lecture:
After this lecture students should be able to describe (a few) ways
- to aggregate probabilistic ensemble members into a representative probabilistic classifier
- to use the probabilistic classifier to make singleton and set-valued predictions
- to aggregate probabilistic ensemble members into a credal classifier
- to use the credal classifier to make set-valued predictions