A Fast Index Assignment Method for Robust Vector Quantization of Image Data. - Nicola L. C. Talbot; Gavin C. Cawley (ICIP (3), 1997)

Efficient formation of a basis in a kernel induced feature space. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2002)

Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. - Robert J. Foxall; Gavin C. Cawley; Nicola L. C. Talbot; Stephen R. Dorling; Danilo P. Mandic (ESANN, 2002)

Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. - Kamel Saadi; Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2002)

A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. - Gavin C. Cawley; Nicola L. C. Talbot (ICANN, 2002)

Improved sparse least-squares support vector machines. - Gavin C. Cawley; Nicola L. C. Talbot (Neurocomputing, 2002)

Reduced Rank Kernel Ridge Regression. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Process. Lett., 2002)

Efficient cross-validation of kernel fisher discriminant classifiers. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2003)

Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. - Gavin C. Cawley; Nicola L. C. Talbot; Robert J. Foxall; Stephen R. Dorling; Danilo P. Mandic (ESANN, 2003)

Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. - Gavin C. Cawley; Nicola L. C. Talbot (Pattern Recognit., 2003)

Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. - Gavin C. Cawley; Nicola L. C. Talbot; Gareth J. Janacek; Michael W. Peck (Deterministic and Statistical Methods in Machine Learning, 2004)

Sparse Bayesian kernel logistic regression. - Gavin C. Cawley; Nicola L. C. Talbot (ESANN, 2004)

Efficient Model Selection for Kernel Logistic Regression. - Gavin C. Cawley; Nicola L. C. Talbot (ICPR (2), 2004)

Optimally Regularised Kernel Fisher Discriminant Analysis. - Kamel Saadi; Nicola L. C. Talbot; Gavin C. Cawley (ICPR (2), 2004)

Heteroscedastic kernel ridge regression. - Gavin C. Cawley; Nicola L. C. Talbot; Robert J. Foxall; Stephen R. Dorling; Danilo P. Mandic (Neurocomputing, 2004)

Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2004)

Sparse Bayesian learning and the relevance multi-layer perceptron network. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2005)

A simple trick for constructing Bayesian formulations of sparse kernel learning methods. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2005)

Estimating Predictive Variances with Kernel Ridge Regression. - Gavin C. Cawley; Nicola L. C. Talbot; Olivier Chapelle (MLCW, 2005)

The evidence framework applied to sparse kernel logistic regression. - Gavin C. Cawley; Nicola L. C. Talbot (Neurocomputing, 2005)

Constructing Bayesian formulations of sparse kernel learning methods. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2005)

Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. - Gavin C. Cawley; Nicola L. C. Talbot; Mark A. Girolami (NIPS, 2006)

Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. - Gavin C. Cawley; Nicola L. C. Talbot (Bioinform., 2006)

Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. - Gavin C. Cawley; Nicola L. C. Talbot; Gareth J. Janacek; Mike W. Peck (IEEE Trans. Neural Networks, 2006)

Generalised Kernel Machines. - Gavin C. Cawley; Gareth J. Janacek; Nicola L. C. Talbot (IJCNN, 2007)

Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. - Gavin C. Cawley; Nicola L. C. Talbot (IJCNN, 2007)

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. - Gavin C. Cawley; Nicola L. C. Talbot (J. Mach. Learn. Res., 2007)

Optimally regularised kernel Fisher discriminant classification. - Kamel Saadi; Nicola L. C. Talbot; Gavin C. Cawley (Neural Networks, 2007)

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. - Gavin C. Cawley; Nicola L. C. Talbot (J. Mach. Learn. Res., 2010)

Kernel learning at the first level of inference. - Gavin C. Cawley; Nicola L. C. Talbot (Neural Networks, 2014)