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 | 2010 | |
|---|---|---|
| j12 |      | Gavin C. Cawley, Nicola L. C. Talbot: On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. Journal of Machine Learning Research 11: 2079-2107 (2010) |
| 2007 | ||
| j11 | | Gavin C. Cawley, Nicola L. C. Talbot: Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. Journal of Machine Learning Research 8: 841-861 (2007) |
| j10 | | Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally regularised kernel Fisher discriminant classification. Neural Networks 20(7): 832-841 (2007) |
| c15 | | Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot: Generalised Kernel Machines. IJCNN 2007: 1720-1725 |
| c14 | | Gavin C. Cawley, Nicola L. C. Talbot: Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN 2007: 1732-1737 |
| 2006 | ||
| j9 | | Gavin C. Cawley, Nicola L. C. Talbot: Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinformatics 22(19): 2348-2355 (2006) |
| j8 | | 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 Transactions on Neural Networks 17(2): 471-481 (2006) |
| c13 | | Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216 |
| 2005 | ||
| j7 | | Gavin C. Cawley, Nicola L. C. Talbot: The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64: 119-135 (2005) |
| j6 | | Gavin C. Cawley, Nicola L. C. Talbot: Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks 18(5-6): 674-683 (2005) |
| c12 | | Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle: Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77 |
| 2004 | ||
| j5 | | Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic: Heteroscedastic kernel ridge regression. Neurocomputing 57: 105-124 (2004) |
| j4 | | 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): 1467-1475 (2004) |
| c11 | | Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck: Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning 2004: 37-55 |
| c10 | | Gavin C. Cawley, Nicola L. C. Talbot: Sparse Bayesian kernel logistic regression. ESANN 2004: 133-138 |
| c9 | | Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) 2004: 427-430 |
| c8 | | Gavin C. Cawley, Nicola L. C. Talbot: Efficient Model Selection for Kernel Logistic Regression. ICPR (2) 2004: 439-442 |
| 2003 | ||
| j3 | | Gavin C. Cawley, Nicola L. C. Talbot: Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognition 36(11): 2585-2592 (2003) |
| c7 | | 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: 209-214 |
| c6 | | Gavin C. Cawley, Nicola L. C. Talbot: Efficient cross-validation of kernel fisher discriminant classifiers. ESANN 2003: 241-246 |
| 2002 | ||
| j2 | | Gavin C. Cawley, Nicola L. C. Talbot: Improved sparse least-squares support vector machines. Neurocomputing 48(1-4): 1025-1031 (2002) |
| j1 | | Gavin C. Cawley, Nicola L. C. Talbot: Reduced Rank Kernel Ridge Regression. Neural Processing Letters 16(3): 293-302 (2002) |
| c5 |  | Gavin C. Cawley, Nicola L. C. Talbot: Efficient formation of a basis in a kernel induced feature space. ESANN 2002: 1-6 |
| c4 | | 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: 19-24 |
| c3 | | Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot: Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. ESANN 2002: 149-154 |
| c2 | | Gavin C. Cawley, Nicola L. C. Talbot: A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN 2002: 681-686 |
| 1997 | ||
| c1 | | Nicola L. C. Talbot, Gavin C. Cawley: A Fast Index Assignment Method for Robust Vector Quantization of Image Data. ICIP (3) 1997: 674-677 |
| 1 | Gavin C. Cawley | |
| 2 | Olivier Chapelle | |
| 3 | Stephen R. Dorling | |
| 4 | Robert J. Foxall | |
| 5 | Mark A. Girolami (Mark Girolami) | |
| 6 | Gareth J. Janacek | |
| 7 | Danilo P. Mandic | |
| 8 | Michael Peck | |
| 9 | Mike W. Peck | |
| 10 | Kamel Saadi |
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