Nicola L. C. Talbot

30 papers B 10C 1Journal 13Unranked 6

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