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Vladimir Vovk
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Year
Algorithmic learning in a random world
V Vovk, A Gammerman, G Shafer
Springer, 2005
17042005
Ridge regression learning algorithm in dual variables
C Saunders, A Gammerman, V Vovk
10831998
Aggregating strategies
VG Vovk
Proceedings of the third annual workshop on Computational learning theory …, 1990
10031990
A tutorial on conformal prediction.
G Shafer, V Vovk
Journal of Machine Learning Research 9 (3), 2008
10022008
Probability and finance: it's only a game!
G Shafer, V Vovk
John Wiley & Sons, 2005
6102005
A game of prediction with expert advice
VG Vovk
Proceedings of the eighth annual conference on Computational learning theory …, 1995
4911995
Inductive confidence machines for regression
H Papadopoulos, K Proedrou, V Vovk, A Gammerman
Machine learning: ECML 2002: 13th European conference on machine learning …, 2002
3902002
Competitive on‐line statistics
V Vovk
International Statistical Review 69 (2), 213-248, 2001
3582001
Conditional validity of inductive conformal predictors
V Vovk
Asian conference on machine learning, 475-490, 2012
3182012
Conformal prediction for reliable machine learning: theory, adaptations and applications
V Balasubramanian, SS Ho, V Vovk
Newnes, 2014
2972014
Machine-learning applications of algorithmic randomness
V Vovk, A Gammerman, C Saunders
2591999
Kernel ridge regression
V Vovk
Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik, 105-116, 2013
2522013
Transduction with confidence and credibility
C Saunders, A Gammerman, V Vovk
2441999
The Sources of Kolmogorov’s Grundbegriffe
G Shafer, V Vovk
2362006
Transductive confidence machines for pattern recognition
K Proedrou, I Nouretdinov, V Vovk, A Gammerman
Machine Learning: ECML 2002: 13th European Conference on Machine Learning …, 2002
2162002
Machine learning classification with confidence: application of transductive conformal predictors to MRI-based diagnostic and prognostic markers in depression
I Nouretdinov, SG Costafreda, A Gammerman, A Chervonenkis, V Vovk, ...
Neuroimage 56 (2), 809-813, 2011
2052011
Support vector regression with ANOVA decomposition kernels
M Stitson, A Gammerman, V Vapnik, V Vovk, C Watkins, J Weston
Advances in kernel methods—Support vector learning, 285-292, 1999
198*1999
Hedging predictions in machine learning
A Gammerman, V Vovk
The Computer Journal 50 (2), 151-163, 2007
1962007
Prequential probability: principles and properties
AP Dawid, VG Vovk
Bernoulli, 125-162, 1999
1911999
Cross-conformal predictors
V Vovk
Annals of Mathematics and Artificial Intelligence 74, 9-28, 2015
1882015
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Articles 1–20