The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any rea

The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any rea

Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorith

This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held i

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine l