Vladimir Vovk – författare
Visar alla böcker från författaren Vladimir Vovk. Handla med fri frakt och snabb leverans.
24 produkter
Conformal Prediction for Reliable Machine Learning
Theory, Adaptations and Applications
Av Vladimir Vovk, Shen-Shyang Ho m. fl.
E-bok, 2014
1379 kr
Lägg i varukorg
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, including risk-sensitive applications such as medical diagnosis, face recognition, and financial …
Conformal Prediction for Reliable Machine Learning
Theory, Adaptations and Applications
Av Vineeth Balasubramanian, Shen-Shyang Ho m. fl.
Häftad, 2014
1170 kr
Lägg i varukorg
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, including risk-sensitive applications such as medical diagnosis, face recognition, and financial …
Algorithmic Learning in a Random World
Av Glenn Shafer, Alex Gammerman m. fl.
E-bok, 2005
2062 kr
Lägg i varukorg
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 developed that can be used to …
Game-Theoretic Foundations for Probability and Finance
Av Glenn Shafer, Vladimir Vovk
Inbunden, 2019
1279 kr
Lägg i varukorg
Game-theoretic probability and finance come of ageGlenn 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, Game-Theoretic Foundations for Probability …
Probability and Finance
It''s Only a Game!
Av Vladimir Vovk, Glenn Shafer
E-bok, 2005
2347 kr
Lägg i varukorg
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 theory as well as new theory.
Game-Theoretic Foundations for Probability and Finance
Av Vladimir Vovk, Glenn Shafer
E-bok, 2019
1482 kr
Lägg i varukorg
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, Game-Theoretic Foundations for …
Game-Theoretic Foundations for Probability and Finance
Av Vladimir Vovk, Glenn Shafer
E-bok, 2019
1482 kr
Lägg i varukorg
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, Game-Theoretic Foundations for …
Algorithmic Learning in a Random World
Av Vladimir Vovk, Alexander Gammerman m. fl.
Inbunden, 2022
1853 kr
Lägg i varukorg
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 described — conformal predictors — are provably …
Algorithmic Learning in a Random World
Av Glenn Shafer, Alexander Gammerman m. fl.
E-bok, 2022
2359 kr
Lägg i varukorg
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 described — conformal predictors — are provably …
Algorithmic Learning in a Random World
Av Vladimir Vovk, Alexander Gammerman
2022
667 kr
Lägg i varukorg
Algorithmic Learning in a Random World
Av Vladimir Vovk, Alexander Gammerman m. fl.
Häftad, 2023
1853 kr
Lägg i varukorg
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 described — conformal predictors — are provably …
Statistical Learning and Data Sciences
Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings
Av Alexander Gammerman, Vladimir Vovk m. fl.
Häftad, 2015
566 kr
Lägg i varukorg
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 papers presented together with 2 invited papers were carefully reviewed and selected from 59 …
Statistical Learning and Data Sciences
Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings
Av Harris Papadopoulos, Vladimir Vovk m. fl.
E-bok, 2015
739 kr
Lägg i varukorg
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 papers presented together with 2 invited papers were carefully reviewed and selected from 59 …
Measures of Complexity
Festschrift for Alexey Chervonenkis
Av Vladimir Vovk, Harris Papadopoulos m. fl.
Inbunden, 2015
1093 kr
Lägg i varukorg
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 machine learning, statistical inference, classification, algorithmic statistics, and pattern …
Measures of Complexity
Festschrift for Alexey Chervonenkis
Av Alexander Gammerman, Harris Papadopoulos m. fl.
E-bok, 2015
1427 kr
Lägg i varukorg
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 machine learning, statistical inference, classification, algorithmic statistics, and pattern …
Conformal and Probabilistic Prediction with Applications
5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings
Av Alexander Gammerman, Zhiyuan Luo m. fl.
Häftad, 2016
566 kr
Lägg i varukorg
This book constitutes the refereed proceedings of the 5th InternationalSymposium on Conformal and Probabilistic Prediction with Applications, COPA2016, held in Madrid, Spain, in April 2016.The 14 revised fullpapers presented together with 1 invited paper were carefully reviewed andselected from 23 …
Conformal and Probabilistic Prediction with Applications
5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings
Av Vladimir Vovk, Jesus Vega m. fl.
E-bok, 2016
755 kr
Lägg i varukorg
This book constitutes the refereed proceedings of the 5th InternationalSymposium on Conformal and Probabilistic Prediction with Applications, COPA2016, held in Madrid, Spain, in April 2016. The 14 revised fullpapers presented together with 1 invited paper were carefully reviewed andselected from 23 …
Measures of Complexity
Festschrift for Alexey Chervonenkis
Av Vladimir Vovk, Harris Papadopoulos m. fl.
Häftad, 2016
1093 kr
Lägg i varukorg
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 machine learning, statistical inference, classification, algorithmic statistics, and pattern …
Algorithmic Learning Theory
21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings
Av Marcus Hutter, Frank Stephan m. fl.
Häftad, 2010
566 kr
Lägg i varukorg
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 co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the …
Algorithmic Learning Theory
21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings
Av Thomas Zeugmann, Vladimir Vovk m. fl.
E-bok, 2010
739 kr
Lägg i varukorg
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 co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the …
Empirical Inference
Festschrift in Honor of Vladimir N. Vapnik
Av Bernhard Schölkopf, Zhiyuan Luo m. fl.
Inbunden, 2014
566 kr
Lägg i varukorg
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 field of research, the theory of statistical learning and empirical inference; he has lived to see the …
Empirical Inference
Festschrift in Honor of Vladimir N. Vapnik
Av Vladimir Vovk, Zhiyuan Luo m. fl.
E-bok, 2013
718 kr
Lägg i varukorg
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 field of research, the theory of statistical learning and empirical inference; he has lived to see the …
Empirical Inference
Festschrift in Honor of Vladimir N. Vapnik
Av Bernhard Schölkopf, Zhiyuan Luo m. fl.
Häftad, 2016
550 kr
Lägg i varukorg
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 field of research, the theory of statistical learning and empirical inference; he has lived to see the …
Algorithmic Learning in a Random World
Av Vladimir Vovk, Alex Gammerman m. fl.
Inbunden, 2005
2364 kr
Tillfälligt slut
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 developed that can be used to …