Nicola Talbot
Nicola Talbot
Verified email at cmp.uea.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
14672010
Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers
GC Cawley, NLC Talbot
Pattern Recognition 36 (11), 2585-2592, 2003
4642003
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
3592004
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
3012007
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization
GC Cawley, NLC Talbot
Bioinformatics 22 (19), 2348-2355, 2006
2622006
Sparse multinomial logistic regression via bayesian l1 regularisation
GC Cawley, NLC Talbot, M Girolami
Advances in neural information processing systems 19, 209, 2007
2442007
Improved sparse least-squares support vector machines
GC Cawley, NLC Talbot
Neurocomputing 48 (1-4), 1025-1031, 2002
1052002
Efficient approximate leave-one-out cross-validation for kernel logistic regression
GC Cawley, NLC Talbot
Machine Learning 71 (2), 243-264, 2008
732008
Reduced rank kernel ridge regression
GC Cawley, NLC Talbot
Neural Processing Letters 16 (3), 293-302, 2002
582002
Heteroscedastic kernel ridge regression
GC Cawley, NLC Talbot, RJ Foxall, SR Dorling, DP Mandic
Neurocomputing 57, 105-124, 2004
542004
Risk assessment for Clostridium botulinum: a network approach
GC Barker, NLC Talbot, MW Peck
International Biodeterioration & Biodegradation 50 (3-4), 167-175, 2002
522002
Efficient model selection for kernel logistic regression
GC Cawley, NLC Talbot
Proceedings of the 17th International Conference on Pattern Recognition …, 2004
372004
Estimating predictive variances with kernel ridge regression
GC Cawley, NLC Talbot, O Chapelle
Machine Learning Challenges Workshop, 56-77, 2005
312005
Optimally regularised kernel Fisher discriminant classification
K Saadi, NLC Talbot, GC Cawley
Neural Networks 20 (7), 832-841, 2007
272007
Efficient formation of a basis in a kernel induced feature space.
GC Cawley, NLC Talbot
ESANN, 1-6, 2002
242002
Generalised kernel machines
GC Cawley, GJ Janacek, NLC Talbot
2007 International Joint Conference on Neural Networks, 1720-1725, 2007
222007
A greedy training algorithm for sparse least-squares support vector machines
GC Cawley, NLC Talbot
International Conference on Artificial Neural Networks, 681-686, 2002
222002
The evidence framework applied to sparse kernel logistic regression
GC Cawley, NLC Talbot
Neurocomputing 64, 119-135, 2005
122005
Agnostic learning versus prior knowledge in the design of kernel machines
GC Cawley, NLC Talbot
2007 International Joint Conference on Neural Networks, 1732-1737, 2007
112007
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
112006
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