Schema della sezione

◄Lecture 2: Some first probabilistic and credal classifiers
►Lectures 4: Uncertainty modelling and decision under uncertainty

  • Dates: 24/11 (13h30 - 17h30; Recorded lecture), Vu-Linh Nguyen

    Objectives of the lecture:

    After this lecture students should be able to

    • describe commonly used notions of classifier calibration
    • describe a few calibration errors and calibration methods
    • describe commonly used notions of coverage
    • describe a few coverage metrics and conformal procedures
◄Lecture 2: Some first probabilistic and credal classifiers
►Lectures 4: Uncertainty modelling and decision under uncertainty