Nicola L. C. Talbot

Publication Activity (10 Years)

Years Active: 1997-2014
Publications (10 Years): 0

Top Topics

Semi Supervised

Kernel Learning

Dimensionality Reduction

Principal Component Analysis

Top Venues

Neural Networks

Publications

Gavin C. Cawley, Nicola L. C. Talbot
Kernel learning at the first level of inference. Neural Networks 53 (2014)
Gavin C. Cawley, Nicola L. C. Talbot
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. J. Mach. Learn. Res. 11 (2010)
Gavin C. Cawley, Nicola L. C. Talbot
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. J. Mach. Learn. Res. 8 (2007)
Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
Optimally regularised kernel Fisher discriminant classification. Neural Networks 20 (7) (2007)
Gavin C. Cawley, Nicola L. C. Talbot
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN (2007)
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot
Generalised Kernel Machines. IJCNN (2007)
Gavin C. Cawley, Nicola L. C. Talbot
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinform. 22 (19) (2006)
Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Mike W. Peck
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. IEEE Trans. Neural Networks 17 (2) (2006)
Gavin C. Cawley, Nicola L. C. Talbot, Mark A. Girolami
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS (2006)
Gavin C. Cawley, Nicola L. C. Talbot
The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64 (2005)
Gavin C. Cawley, Nicola L. C. Talbot
Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks 18 (5-6) (2005)
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle
Estimating Predictive Variances with Kernel Ridge Regression. MLCW (2005)
Gavin C. Cawley, Nicola L. C. Talbot
Sparse Bayesian kernel logistic regression. ESANN (2004)
Gavin C. Cawley, Nicola L. C. Talbot
Efficient Model Selection for Kernel Logistic Regression. ICPR (2) (2004)
Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) (2004)
Gavin C. Cawley, Nicola L. C. Talbot
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks 17 (10) (2004)
Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael W. Peck
Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning (2004)
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
Heteroscedastic kernel ridge regression. Neurocomputing 57 (2004)
Gavin C. Cawley, Nicola L. C. Talbot
Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognit. 36 (11) (2003)
Gavin C. Cawley, Nicola L. C. Talbot
Efficient cross-validation of kernel fisher discriminant classifiers. ESANN (2003)
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. ESANN (2003)
Gavin C. Cawley, Nicola L. C. Talbot
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN (2002)
Gavin C. Cawley, Nicola L. C. Talbot
Efficient formation of a basis in a kernel induced feature space. ESANN (2002)
Gavin C. Cawley, Nicola L. C. Talbot
Improved sparse least-squares support vector machines. Neurocomputing 48 (1-4) (2002)
Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot
Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. ESANN (2002)
Gavin C. Cawley, Nicola L. C. Talbot
Reduced Rank Kernel Ridge Regression. Neural Process. Lett. 16 (3) (2002)
Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic
Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. ESANN (2002)
Nicola L. C. Talbot, Gavin C. Cawley
A Fast Index Assignment Method for Robust Vector Quantization of Image Data. ICIP (3) (1997)