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Gavin C Cawley

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Neural Networks|May 29, 2007
An empirical evaluation of the fuzzy kernel perceptronGavin C Cawley
Neural Networks : the Official Journal of the International Neural Network Society|August 9, 2005
Constructing Bayesian formulations of sparse kernel learning methodsGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|February 25, 2014
Kernel learning at the first level of inferenceGavin C Cawley, Nicola L C Talbot
Bioinformatics (Oxford, England)|July 18, 2006
Gene selection in cancer classification using sparse logistic regression with Bayesian regularizationGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|November 16, 2004
Fast exact leave-one-out cross-validation of sparse least-squares support vector machinesGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2007
Optimally regularised kernel Fisher discriminant classificationKamel Saadi, Nicola L C Talbot, Gavin C Cawley
Neural Networks : the Official Journal of the International Neural Network Society|May 29, 2007
Predictive uncertainty in environmental modellingGavin C Cawley, Gareth J Janacek, Malcolm R Haylock, et al.
IEEE Transactions on Neural Networks|March 29, 2006
Sparse Bayesian kernel survival analysis for modeling the growth domain of microbial pathogensGavin C Cawley, Nicola L C Talbot, Gareth J Janacek, et al.
Journal of Immunological Methods|October 12, 2011
Machine learning competition in immunology - Prediction of HLA class I binding peptidesGuang Lan Zhang, Hifzur Rahman Ansari, Phil Bradley, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|May 29, 2007
An empirical evaluation of the fuzzy kernel perceptronGavin C Cawley
Neural Networks : the Official Journal of the International Neural Network Society|August 9, 2005
Constructing Bayesian formulations of sparse kernel learning methodsGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|February 25, 2014
Kernel learning at the first level of inferenceGavin C Cawley, Nicola L C Talbot
Bioinformatics (Oxford, England)|July 18, 2006
Gene selection in cancer classification using sparse logistic regression with Bayesian regularizationGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|November 16, 2004
Fast exact leave-one-out cross-validation of sparse least-squares support vector machinesGavin C Cawley, Nicola L C Talbot
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2007
Optimally regularised kernel Fisher discriminant classificationKamel Saadi, Nicola L C Talbot, Gavin C Cawley
Neural Networks : the Official Journal of the International Neural Network Society|May 29, 2007
Predictive uncertainty in environmental modellingGavin C Cawley, Gareth J Janacek, Malcolm R Haylock, et al.
IEEE Transactions on Neural Networks|March 29, 2006
Sparse Bayesian kernel survival analysis for modeling the growth domain of microbial pathogensGavin C Cawley, Nicola L C Talbot, Gareth J Janacek, et al.
Journal of Immunological Methods|October 12, 2011
Machine learning competition in immunology - Prediction of HLA class I binding peptidesGuang Lan Zhang, Hifzur Rahman Ansari, Phil Bradley, et al.
Pageof 1