Algorithmic learning in a random world V Vovk, A Gammerman, G Shafer Springer, 2005 | 1859 | 2005 |
Ridge regression learning algorithm in dual variables C Saunders, A Gammerman, V Vovk | 1104 | 1998 |
A tutorial on conformal prediction. G Shafer, V Vovk Journal of Machine Learning Research 9 (3), 2008 | 1091 | 2008 |
Aggregating strategies VG Vovk Proceedings of the third annual workshop on Computational learning theory …, 1990 | 1010 | 1990 |
Probability and finance: it's only a game! G Shafer, V Vovk John Wiley & Sons, 2005 | 614 | 2005 |
A game of prediction with expert advice VG Vovk Proceedings of the eighth annual conference on Computational learning theory …, 1995 | 503 | 1995 |
Inductive confidence machines for regression H Papadopoulos, K Proedrou, V Vovk, A Gammerman Machine learning: ECML 2002: 13th European conference on machine learning …, 2002 | 439 | 2002 |
Conditional validity of inductive conformal predictors V Vovk Asian conference on machine learning, 475-490, 2012 | 365 | 2012 |
Competitive on‐line statistics V Vovk International Statistical Review 69 (2), 213-248, 2001 | 362 | 2001 |
Conformal prediction for reliable machine learning: theory, adaptations and applications V Balasubramanian, SS Ho, V Vovk Newnes, 2014 | 309 | 2014 |
Machine-learning applications of algorithmic randomness V Vovk, A Gammerman, C Saunders | 282 | 1999 |
Kernel ridge regression V Vovk Empirical inference: Festschrift in honor of vladimir n. vapnik, 105-116, 2013 | 276 | 2013 |
Transduction with confidence and credibility C Saunders, A Gammerman, V Vovk | 247 | 1999 |
The Sources of Kolmogorov’s Grundbegriffe G Shafer, V Vovk | 238 | 2006 |
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 | 217 | 2002 |
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 | 206 | 2011 |
Cross-conformal predictors V Vovk Annals of Mathematics and Artificial Intelligence 74, 9-28, 2015 | 200 | 2015 |
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 | 200* | 1999 |
Combining p-values via averaging V Vovk, R Wang Biometrika 107 (4), 791-808, 2020 | 199 | 2020 |
Hedging predictions in machine learning A Gammerman, V Vovk The Computer Journal 50 (2), 151-163, 2007 | 196 | 2007 |