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 is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal predicti