Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Abstract The notion of uncertainty is of major importance in machine learning and constitutes a key element of machine learning methodology. In line with the statistical tradition, uncertainty has long been perceived as almost synonymous with standard probability and probabilistic predictions. Yet, ... View More