| On over-fitting in model selection and subsequent selection bias in performance evaluation GC Cawley, NLC Talbot The Journal of Machine Learning Research 11, 2079-2107, 2010 | 2769 | 2010 |
| Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers GC Cawley, NLC Talbot Pattern recognition 36 (11), 2585-2592, 2003 | 560 | 2003 |
| Fast exact leave-one-out cross-validation of sparse least-squares support vector machines GC Cawley, NLC Talbot Neural networks 17 (10), 1467-1475, 2004 | 425 | 2004 |
| Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. GC Cawley, NLC Talbot Journal of Machine Learning Research 8 (4), 2007 | 381 | 2007 |
| Gene selection in cancer classification using sparse logistic regression with Bayesian regularization GC Cawley, NLC Talbot Bioinformatics 22 (19), 2348-2355, 2006 | 303 | 2006 |
| Sparse multinomial logistic regression via bayesian l1 regularisation G Cawley, N Talbot, M Girolami Advances in neural information processing systems 19, 2006 | 299 | 2006 |
| Improved sparse least-squares support vector machines GC Cawley, NLC Talbot Neurocomputing 48 (1-4), 1025-1031, 2002 | 112 | 2002 |
| Efficient approximate leave-one-out cross-validation for kernel logistic regression GC Cawley, NLC Talbot Machine Learning 71, 243-264, 2008 | 107 | 2008 |
| Reduced rank kernel ridge regression GC Cawley, NLC Talbot Neural Processing Letters 16, 293-302, 2002 | 75 | 2002 |
| Heteroscedastic kernel ridge regression GC Cawley, NLC Talbot, RJ Foxall, SR Dorling, DP Mandic Neurocomputing 57, 105-124, 2004 | 74 | 2004 |
| Risk assessment for Clostridium botulinum: a network approach GC Barker, NLC Talbot, MW Peck International Biodeterioration & Biodegradation 50 (3-4), 167-175, 2002 | 60 | 2002 |
| Estimating predictive variances with kernel ridge regression GC Cawley, NLC Talbot, O Chapelle Machine Learning Challenges Workshop, 56-77, 2005 | 41 | 2005 |
| Efficient model selection for kernel logistic regression GC Cawley, NLC Talbot Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 41 | 2004 |
| Optimally regularised kernel Fisher discriminant classification K Saadi, NLC Talbot, GC Cawley Neural Networks 20 (7), 832-841, 2007 | 31 | 2007 |
| Efficient formation of a basis in a kernel induced feature space. GC Cawley, NLC Talbot ESANN, 1-6, 2002 | 27 | 2002 |
| Generalised kernel machines GC Cawley, GJ Janacek, NLC Talbot 2007 International Joint Conference on Neural Networks, 1720-1725, 2007 | 25 | 2007 |
| A greedy training algorithm for sparse least-squares support vector machines GC Cawley, NLC Talbot International Conference on Artificial Neural Networks, 681-686, 2002 | 24 | 2002 |
| Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens GC Cawley, NLC Talbot, GJ Janacek, MW Peck IEEE Transactions on Neural Networks 17 (2), 471-481, 2006 | 17 | 2006 |
| The evidence framework applied to sparse kernel logistic regression GC Cawley, NLC Talbot Neurocomputing 64, 119-135, 2005 | 14 | 2005 |
| Manipulation of prior probabilities in support vector classification GC Cawley, NLC Talbot IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 14 | 2001 |
Gavin C CawleyProfessor of Computing Sciences, University of East AngliaVerified email at uea.ac.uk