| Ridge regression learning algorithm in dual variables C Saunders, A Gammerman, V Vovk | 871 | 1998 |
| Algorithmic learning in a random world V Vovk, A Gammerman, G Shafer Springer Science & Business Media, 2005 | 762 | 2005 |
| Learning by transduction A Gammerman, V Vovk, V Vapnik arXiv preprint arXiv:1301.7375, 2013 | 450 | 2013 |
| Transductive confidence machines for pattern recognition K Proedrou, I Nouretdinov, V Vovk, A Gammerman European Conference on Machine Learning, 381-390, 2002 | 196 | 2002 |
| Transduction with confidence and credibility C Saunders, A Gammerman, V Vovk | 191 | 1999 |
| Machine-learning applications of algorithmic randomness V Vovk, A Gammerman, C Saunders | 166 | 1999 |
| Support vector density estimation J Weston, A Gammerman, M Stitson, V Vapnik, V Vovk, C Watkins Advances in Kernel MethodsSupport Vector Learning, 293-306, 1999 | 160 | 1999 |
| 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 | 159 | 2011 |
| Preanalytic influence of sample handling on SELDI-TOF serum protein profiles JF Timms, E Arslan-Low, A Gentry-Maharaj, Z Luo, D TJampens, ... Clinical chemistry 53 (4), 645-656, 2007 | 157 | 2007 |
| Hedging predictions in machine learning A Gammerman, V Vovk The Computer Journal 50 (2), 151-163, 2007 | 146 | 2007 |
| Support vector regression with ANOVA decomposition kernels M Stitson, A Gammerman, V Vapnik, V Vovk, C Watkins, J Weston Advances in kernel methodsSupport vector learning, 285-292, 1999 | 139 | 1999 |
| Theory of support vector machines MO Stitson, JAE Weston, A Gammerman, V Vovk, V Vapnik University of London 117 (827), 188-191, 1996 | 132 | 1996 |
| Inductive confidence machines for regression H Papadopoulos, K Proedrou, V Vovk, A Gammerman European Conference on Machine Learning, 345-356, 2002 | 128 | 2002 |
| Regression conformal prediction with nearest neighbours H Papadopoulos, V Vovk, A Gammerman Journal of Artificial Intelligence Research 40, 815-840, 2011 | 93 | 2011 |
| Prediction algorithms and confidence measures based on algorithmic randomness theory A Gammerman, V Vovk Theoretical Computer Science 287 (1), 209-217, 2002 | 93 | 2002 |
| Bayesian diagnostic probabilities without assuming independence of symptoms A Gammerman, AR Thatcher Methods of information in medicine 30 (01), 15-22, 1991 | 69 | 1991 |
| Probabilistic reasoning in evidential assessment CGG Aitken, A Gammerman Journal of the Forensic Science Society 29 (5), 303-316, 1989 | 62 | 1989 |
| Kolmogorov Complexity: Sources, Theory and Applications. A Gammerman, V Vovk Computer Journal 42 (4), 1999 | 55* | 1999 |
| Density estimation using support vector machines J Weston, A Gammerman, MO Stitson, V Vapnik, V Vovk, C Watkins Technical report, Royal Holloway College, Report number CSD-TR-97-23, 1997 | 55 | 1997 |
| On-line predictive linear regression V Vovk, I Nouretdinov, A Gammerman The Annals of Statistics 37 (3), 1566-1590, 2009 | 53 | 2009 |
