default search action
Nicola L. C. Talbot
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2010 – 2019
- 2014
- [j13]Gavin C. Cawley, Nicola L. C. Talbot:
Kernel learning at the first level of inference. Neural Networks 53: 69-80 (2014) - 2010
- [j12]Gavin C. Cawley, Nicola L. C. Talbot:
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation. J. Mach. Learn. Res. 11: 2079-2107 (2010)
2000 – 2009
- 2007
- [j11]Gavin C. Cawley, Nicola L. C. Talbot:
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. J. Mach. Learn. Res. 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. Bioinform. 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 Trans. Neural Networks 17(2): 471-481 (2006) - [c13]Gavin C. Cawley, Nicola L. C. Talbot, Mark A. 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 W. 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 Recognit. 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 Process. Lett. 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
1990 – 1999
- 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
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 23:00 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: