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

Provides a foundation for probability based on game theory rather than measure theory. A strong philosophical approach with practical applications. Presents in-