Télécharger le livre :  Algorithmic Learning in a Random World
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
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171,19

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Télécharger le livre :  The Splendors and Miseries of Martingales
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, ePub

120,99

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Télécharger le livre :  Game-Theoretic Foundations for Probability and Finance
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

134,25

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Télécharger le livre :  Algorithmic Learning in a Random World
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
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