The SCEAS System
Navigation Menu
Introduction
Collection Based
Clustering
Ranking
Paper Based
Journals
Conferences
DB Status
Statistics
Search

Search the dblp DataBase

Title:
Author:
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]


Search in 0.033secs, Finished in 0.035secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
Introduction Collection Based Clustering Ranking Paper Based Journals Conferences DB Status Statistics Search
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002