Items where Author is "Talbot, Nicola"

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Number of items: 34.

Cawley, G.C. ORCID: https://orcid.org/0000-0002-4118-9095 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 ORCID: https://orcid.org/0000-0002-4118-9095 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 ORCID: https://orcid.org/0000-0002-4118-9095 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 ORCID: https://orcid.org/0000-0002-4118-9095 (2007) Optimally regularised kernal Fisher discriminant classification. Neural Networks, 20 (7). pp. 832-841. ISSN 0893-6080

Cawley, GC ORCID: https://orcid.org/0000-0002-4118-9095 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, G. C ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, N. L. C (2007) Agnostic learning versus prior knowledge in the design of kernel machines. In: IEEE/INNS International Joint Conference on Neural Networks, 2007-08-12 - 2007-08-17.

Cawley, G. C. ORCID: https://orcid.org/0000-0002-4118-9095, Janacek, G. J. and Talbot, N. L. C. (2007) Generalised Kernel Machines. In: IEEE/INNS International Joint Conference on Neural Networks, 2007-08-12 - 2007-08-17.

Cawley, G. C. ORCID: https://orcid.org/0000-0002-4118-9095, 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, GC ORCID: https://orcid.org/0000-0002-4118-9095 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 ORCID: https://orcid.org/0000-0002-4118-9095, 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 ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, NLC (2005) The evidence framework applied to sparse kernel logistic regression. Neurocomputing, 64. pp. 119-135. ISSN 0925-2312

Cawley, Gavin C. ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, Nicola L. C. (2005) A simple trick for constructing Bayesian formulations of sparse kernel learning methods. In: 2005 International Joint Conference on Neural Networks, 2005-07-31 - 2005-08-04.

Cawley, Gavin C. ORCID: https://orcid.org/0000-0002-4118-9095 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. ORCID: https://orcid.org/0000-0002-4118-9095 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, G. C. ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, N. L. C. (2004) Efficient model selection for kernel logistic regression. In: 17th International Conference on Pattern Recognition, 2004-08-23 - 2004-08-26.

Saadi, K., Talbot, N. L. C. and Cawley, G. C. ORCID: https://orcid.org/0000-0002-4118-9095 (2004) Optimally regularised kernel Fisher discriminant analysis. In: 17th International Conference on Pattern Recognition, 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. ORCID: https://orcid.org/0000-0002-4118-9095, 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, Gavin C. ORCID: https://orcid.org/0000-0002-4118-9095, 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, G. C. ORCID: https://orcid.org/0000-0002-4118-9095 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

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.

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. ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, N. L. C. (2002) Improved sparse least-squares support vector machines. Neurocomputing, 48 (1-4). pp. 1025-1031. ISSN 0925-2312

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.

Cawley, G. C. ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, N. L. C. (2002) Reduced rank kernel ridge regression. Neural Processing Letters, 16 (3). pp. 293-302. ISSN 1370-4621

Cawley, Gavin C. ORCID: https://orcid.org/0000-0002-4118-9095 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, ESP, 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.

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. ORCID: https://orcid.org/0000-0002-4118-9095 and Talbot, Nicola L. C. (2001) Manipulation of prior probabilities in support vector classifications. In: 2001 International Joint Conference on Neural Networks, 2001-07-15 - 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 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. ORCID: https://orcid.org/0000-0002-4118-9095 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

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 Thu Sep 29 17:50:58 2022 UTC.