Algorithmic Learning in a Random World describes recent theoretical and experime...

This book celebrates the work of Vladimir Vapnik, developer of the support vector machine, whi...

Provides a foundation for probability based on game theory rather than measure theory. A strong...

This book brings together historical notes, reviews of research developments, fresh ideas on how ...

The conformal predictions framework is a recent development in machine learning that can associat...

This book constitutes the refereed proceedings of the Third International Symposium on Statistica...

This book constitutes the refereed proceedings of the 5th InternationalSymposium on Conformal and...

This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Lea...

Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk s Probability a...

Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk s Probability a...

Algorithmic Learning in a Random World describes recent theoretical and experime...

This book brings together historical notes, reviews of research developments, fresh ideas on h...