Items where Author is "Talbot, Nicola"

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Number of items: 34.

Article

Cawley, G.C. and Talbot, N.L.C. (2014) Kernel learning at the first level of inference. Neural Networks, 53. pp. 69-80. ISSN 0893-6080

Cawley, GC and Talbot, NLC (2010) On over-fitting in model selection and subsequent selection bias in performance evaluation. Journal of Machine Learning Research, 11. pp. 2079-2107. ISSN 1533-7928

Cawley, GC and Talbot, NLC (2008) Efficient approximate leave-one-out cross-validation for kernel logistic regression. Machine Learning, 71 (2-3). pp. 243-264.

Saadi, K, Talbot, NLC and Cawley, GC (2007) Optimally regularised kernal Fisher discriminant classification. Neural Networks, 20 (7). pp. 832-841. ISSN 0893-6080

Cawley, GC and Talbot, NLC (2007) Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. Journal of Machine Learning Research, 8. pp. 841-861. ISSN 1533-7928

Cawley, GC and Talbot, NLC (2006) Gene selection in cancer classification using sparse logistic regression with Bayesian regularisation. Bioinformatics, 22 (19). pp. 2348-2355. ISSN 1367-4803

Cawley, GC, Talbot, NLC, Janacek, GJ and Peck, MW (2006) Sparse Bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. IEEE Transactions on Neural Networks, 17 (2). pp. 471-481. ISSN 1045-9227

Cawley, GC and Talbot, NLC (2005) The evidence framework applied to sparse kernel logistic regression. Neurocomputing, 64. pp. 119-135. ISSN 0925-2312

Cawley, Gavin C. and Talbot, Nicola L. C. (2005) Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks, 18 (5-6). pp. 674-683. ISSN 0893-6080

Cawley, Gavin C. and Talbot, Nicola L. C. (2004) Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks, 17 (10). pp. 1467-1475. ISSN 0893-6080

Cawley, Gavin C., Talbot, Nicola L. C., Foxall, Robert J., Dorling, Stephen R. and Mandic, Danilo P. (2004) Heteroscedastic kernel ridge regression. Neurocomputing, 57. pp. 105-124. ISSN 0925-2312

Cawley, G. C. and Talbot, N. L. C. (2003) Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers. Pattern Recognition, 36 (11). pp. 2585-2592. ISSN 0031-3203

Barker, Gary C., Talbot, Nicola L. C. and Peck, Mike W. (2002) Risk assessment for Clostridium botulinum: a network approach. International Biodeterioration & Biodegradation, 50 (3-4). pp. 167-175. ISSN 0964-8305

Cawley, G. C. and Talbot, N. L. C. (2002) Improved sparse least-squares support vector machines. Neurocomputing, 48 (1-4). pp. 1025-1031. ISSN 0925-2312

Cawley, G. C. and Talbot, N. L. C. (2002) Reduced rank kernel ridge regression. Neural Processing Letters, 16 (3). pp. 293-302. ISSN 1370-4621

Talbot, Nicola L. C. and Massara, R. E. (1997) Quadratic assignment algorithm that takes module size into account. IEE Electronics Letters, 33 (14). pp. 1201-1203. ISSN 0013-5194

Cawley, G. C. and Talbot, N. L. C. (1996) Fast index assignment algorithm for vector quantisation over noisy transmission channels. IEE Electronics Letters, 32 (15). pp. 1343-1344. ISSN 0013-5194

Book Section

Cawley, G. C., Talbot, N. L. C. and Girolami, M. (2007) Sparse multinomial logistic regression via Bayesian L1 regularisation. In: Advances in Neural Information Processing Systems. MIT Press, pp. 209-216. ISBN 9780262195683

Cawley, Gavin C., Talbot, Nicola L. C., Janacek, Gareth J. and Peck, Mike W. (2004) Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. In: Deterministic and Statistical Methods in Machine Learning. Lecture Notes in Computer Science, 3635 . Springer Berlin / Heidelberg, pp. 37-55.

Cawley, Gavin C. and Talbot, Nicola L. C. (2002) A greedy training algorithm for sparse least-squares support vector machines. In: Artificial Neural Networks — ICANN 2002. Lecture Notes in Computer Science, 2415 . Springer Berlin / Heidelberg, pp. 681-686. ISBN 978-3-540-44074-1

Foxall, RJ, Cawley, GC, Talbot, NLC, Dorling, SR and Mandic, DP (2002) Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. In: Proceedings of the European Symposium on Artificial Neural Networks. Bruges, Belgium, pp. 19-24.

Conference or Workshop Item

Cawley, G. C and Talbot, N. L. C (2007) Agnostic learning versus prior knowledge in the design of kernel machines. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2007), 2007-08-12 - 2007-08-17.

Cawley, G. C., Janacek, G. J. and Talbot, N. L. C. (2007) Generalised Kernel Machines. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks, 2007-01-01.

Cawley, Gavin C. and Talbot, Nicola L. C. (2005) A simple trick for constructing Bayesian formulations of sparse kernel learning methods. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2005), 2005-07-31 - 2005-08-04.

Cawley, G. C. and Talbot, N. L. C. (2004) Efficient model selection for kernel logistic regression. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004), 2004-08-23 - 2004-08-26.

Saadi, K., Talbot, N. L. C. and Cawley, G. C. (2004) Optimally regularised kernel Fisher discriminant analysis. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004), 2004-08-23 - 2004-08-26.

Cawley, G. C. and Talbot, N. L. C. (2004) Sparse Bayesian kernel logistic regression. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2004), 2004-04-28 - 2004-04-30.

Cawley, Gavin C. and Talbot, Nicola L. C. (2003) Efficient cross-validation of kernel Fisher discriminant classifiers. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2003), 2003-04-23 - 2003-04-25.

Cawley, Gavin C., Talbot, Nicola L. C., Foxall, Robert J., Dorling, Stephen R. and Mandic, Danilo P. (2003) Approximately Unbiased Estimation of Conditional Variance in Heteroscedastic Kernel Ridge Regression. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2003), 2003-04-23 - 2003-04-25.

Cawley, Gavin C. and Talbot, Nicola L. C. (2002) Efficient formation of a basis in a kernel induced feature space. In: European Symposium on Artificial Neural Networks (ESANN 2002), 2002-04-24 - 2002-04-26.

Saadi, K., Cawley, G. C. and Talbot, N. L. C. (2002) Fast exact leave-one-out cross-validation of least-square support vector machines. In: European Symposium on Artificial Neural Networks (ESANN-2002), 2002-04-24 - 2002-04-26.

Cawley, Gavin C. and Talbot, Nicola L. C. (2001) Manipulation of prior probabilities in support vector classifications. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2001), 2001-07-16 - 2001-07-19.

Talbot, Nicola L. C. and Cawley, Gavin C. (1997) A Fast Index Assignment Method for Robust Vector Quantisation of Image Data. In: I.E.E.E. International Conference on Image Processing (ICIP-97), 1997-10-26 - 1997-10-29.

Talbot, Nicola L. C. and Cawley, Gavin C. (1996) A Quadratic Index Assignment Algorithm for Vector Quantisation over Noisy Transmission Channels. In: Institute of Acoustics Autumn Conference (Speech and Hearing 96), 1996-01-01.

This list was generated on Sun May 28 05:35:57 2017 BST.