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Nicola L. C. Talbot: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck
    Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:37-55 [Conf]
  2. Gavin C. Cawley, Nicola L. C. Talbot
    Efficient formation of a basis in a kernel induced feature space. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:1-6 [Conf]
  3. Gavin C. Cawley, Nicola L. C. Talbot
    Efficient cross-validation of kernel fisher discriminant classifiers. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:241-246 [Conf]
  4. Gavin C. Cawley, Nicola L. C. Talbot
    Sparse Bayesian kernel logistic regression. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:133-138 [Conf]
  5. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:209-214 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:19-24 [Conf]
  7. Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot
    Fast exact leave-one-out cross-validation of least-squares Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ESANN, 2002, pp:149-154 [Conf]
  8. Gavin C. Cawley, Nicola L. C. Talbot
    A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:681-686 [Conf]
  9. Nicola L. C. Talbot, Gavin C. Cawley
    A Fast Index Assignment Method for Robust Vector Quantization of Image Data. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1997, pp:674-677 [Conf]
  10. Gavin C. Cawley, Nicola L. C. Talbot
    Efficient Model Selection for Kernel Logistic Regression. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:439-442 [Conf]
  11. Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
    Optimally Regularised Kernel Fisher Discriminant Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:427-430 [Conf]
  12. Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle
    Estimating Predictive Variances with Kernel Ridge Regression. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:56-77 [Conf]
  13. Gavin C. Cawley, Nicola L. C. Talbot
    Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:19, pp:2348-2355 [Journal]
  14. Gavin C. Cawley, Nicola L. C. Talbot
    Improved sparse least-squares support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:48, n:1-4, pp:1025-1031 [Journal]
  15. Gavin C. Cawley, Nicola L. C. Talbot
    The evidence framework applied to sparse kernel logistic regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:119-135 [Journal]
  16. Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic
    Heteroscedastic kernel ridge regression. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:57, n:, pp:105-124 [Journal]
  17. Gavin C. Cawley, Nicola L. C. Talbot
    Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:10, pp:1467-1475 [Journal]
  18. Gavin C. Cawley, Nicola L. C. Talbot
    Constructing Bayesian formulations of sparse kernel learning methods. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:5-6, pp:674-683 [Journal]
  19. Gavin C. Cawley, Nicola L. C. Talbot
    Reduced Rank Kernel Ridge Regression. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:16, n:3, pp:293-302 [Journal]
  20. Gavin C. Cawley, Nicola L. C. Talbot
    Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:11, pp:2585-2592 [Journal]
  21. Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami
    Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:209-216 [Conf]
  22. Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley
    Optimally regularised kernel Fisher discriminant classification. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:7, pp:832-841 [Journal]

  23. Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. [Citation Graph (, )][DBLP]


  24. Generalised Kernel Machines. [Citation Graph (, )][DBLP]


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