Ebooks de Glenn Shafer en PDF et EPUB

4 Livre(s)
Télécharger le livre : Algorithmic Learning in a Random World
Ajouter à ma liste d'envies
Algorithmic Learning in a Random World
Alexander Gammerman , Glenn Shafer , Vladimir Vovk
This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithms...

Editeur : Springer
Parution : 2022-12-13

PDF, ePub

168,79 €
Télécharger le livre : The Splendors and Miseries of Martingales
Ajouter à ma liste d'envies
The Splendors and Miseries of Martingales
Laurent Mazliak , Glenn Shafer
Over the past eighty years, martingales have become central in the mathematics of randomness. They appear in the general theory of stochastic processes, in the algorithmic theory of randomness, and in some branches of mathematical statistics. Yet little has been written...

Editeur : Birkhäuser
Parution : 2022-10-17
Collection : Trends in the History of Science
PDF

105,49 €
Télécharger le livre : Game-Theoretic Foundations for Probability and Finance
Ajouter à ma liste d'envies
Game-Theoretic Foundations for Probability and Finance
Glenn Shafer , Vladimir Vovk
Game-theoretic probability and finance come of age Glenn Shafer and Vladimir Vovk’s Probability and Finance, published in 2001, showed that perfect-information games can be used to define mathematical probability. Based on fifteen years of further research,...

Editeur : Wiley
Parution : 2019-05-08
Collection : Wiley Series in Probability and Statistics
PDF, ePub

117,05 €
Télécharger le livre : Algorithmic Learning in a Random World
Ajouter à ma liste d'envies
Algorithmic Learning in a Random World
Alex Gammerman , Glenn Shafer , Vladimir Vovk
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been...

Editeur : Springer
Parution : 2005-12-05

PDF

168,79 €