Mohammad Hossein Shaker

Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison

The representation and quantification of uncertainty has received increasing attention in machine learning in the recent past. The formalism of credal sets provides an interesting alternative in this regard, especially as it combines the representation of epistemic (lack of knowledge) and aleatoric…