Следене
Vladimir Vovk
Заглавие
Позовавания
Позовавания
Година
Algorithmic learning in a random world
V Vovk, A Gammerman, G Shafer
Springer Science & Business Media, 2005
11012005
Ridge regression learning algorithm in dual variables
C Saunders, A Gammerman, V Vovk
9721998
Aggregating strategies
VG Vovk
Proc. of Computational Learning Theory, 1990, 1990
9101990
A Tutorial on Conformal Prediction.
G Shafer, V Vovk
Journal of Machine Learning Research 9 (3), 2008
6332008
Probability and finance: it's only a game!
G Shafer, V Vovk
John Wiley & Sons, 2005
5672005
Learning by transduction
A Gammerman, V Vovk, V Vapnik
arXiv preprint arXiv:1301.7375, 2013
5332013
A game of prediction with expert advice
V Vovk
Journal of Computer and System Sciences 56 (2), 153-173, 1998
4391998
Competitive on‐line statistics
V Vovk
International Statistical Review 69 (2), 213-248, 2001
3222001
Inductive confidence machines for regression
H Papadopoulos, K Proedrou, V Vovk, A Gammerman
European Conference on Machine Learning, 345-356, 2002
2162002
Transductive confidence machines for pattern recognition
K Proedrou, I Nouretdinov, V Vovk, A Gammerman
European Conference on Machine Learning, 381-390, 2002
2082002
Transduction with confidence and credibility
C Saunders, A Gammerman, V Vovk
2081999
Conformal prediction for reliable machine learning: theory, adaptations and applications
V Balasubramanian, SS Ho, V Vovk
Newnes, 2014
2012014
Machine-learning applications of algorithmic randomness
V Vovk, A Gammerman, C Saunders
1881999
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
1842011
The sources of Kolmogorov’s Grundbegriffe
G Shafer, V Vovk
Statistical Science 21 (1), 70-98, 2006
1812006
Hedging predictions in machine learning
A Gammerman, V Vovk
The Computer Journal 50 (2), 151-163, 2007
1752007
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
174*1999
Support vector density estimation
J Weston, A Gammerman, M Stitson, V Vapnik, V Vovk, C Watkins
Advances in Kernel Methods—Support Vector Learning, 293-306, 1999
174*1999
Prequential probability: principles and properties
AP Dawid, VG Vovk
Bernoulli, 125-162, 1999
1711999
Kernel ridge regression
V Vovk
Empirical inference, 105-116, 2013
1642013
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Статии 1–20