Glenn Shafer is University Professor at Rutgers University.
Vladimir Vovk is Professor in the Department of Computer Science at Royal Holloway, University of London.
Shafer and Vovk are the authors of Probability and Finance: It»s Only a Game, published by Wiley and co-authors of Algorithmic Learning in a Random World. Shafer»s other previous books include A Mathematical Theory of Evidence and The Art of Causal Conjecture.
11 Электронные книги Vladimir Vovk
Vladimir Vovk & Alex Gammerman: 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 thes …
PDF
английский
€171.19
Glenn Shafer & Vladimir Vovk: Probability and Finance
Provides a foundation for probability based on game theory rather than measure theory. A strong philosophical approach with practical applications. Presents in-depth coverage of classical probability …
PDF
английский
DRM
€184.91
Glenn Shafer & Vladimir Vovk: 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 mathematica …
PDF
английский
DRM
€99.99
Glenn Shafer & Vladimir Vovk: 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 mathematica …
EPUB
английский
€99.99
Vladimir Vovk & Harris Papadopoulos: Measures of Complexity
This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of m …
PDF
английский
€96.29
Bernhard Schölkopf & Zhiyuan Luo: Empirical Inference
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to the inception of a new fi …
PDF
английский
€53.49
Vineeth Balasubramanian & Shen-Shyang Ho: Conformal Prediction for Reliable Machine Learning
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application …
EPUB
английский
DRM
€93.74
Alexander Gammerman & Harris Papadopoulos: Statistical Learning and Data Sciences
This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full pa …
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английский
DRM
€57.78
Alexander Gammerman & Zhiyuan Luo: Conformal and Probabilistic Prediction with Applications
This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA2016, held in Madrid, Spain, in April 2016.The 14 re …
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английский
DRM
€57.77
Marcus Hutter & Frank Stephan: Algorithmic Learning Theory
This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6-8, 2010. The conference was …
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английский
DRM
€57.65
Vladimir Vovk & Alexander Gammerman: 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 r …
PDF
английский
€171.19
