دنبال کردن
Gavin Cawley
Gavin Cawley
Professor of Computing Sciences, University of East Anglia
ایمیل تأیید شده در uea.ac.uk - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
On over-fitting in model selection and subsequent selection bias in performance evaluation‏
GC Cawley, NLC Talbot‏
The Journal of Machine Learning Research 11, 2079-2107, 2010‏
28202010
Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers‏
GC Cawley, NLC Talbot‏
Pattern recognition 36 (11), 2585-2592, 2003‏
5632003
Downscaling heavy precipitation over the United Kingdom: a comparison of dynamical and statistical methods and their future scenarios‏
MR Haylock, GC Cawley, C Harpham, RL Wilby, CM Goodess‏
International Journal of Climatology: A Journal of the Royal Meteorological …, 2006‏
4572006
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines‏
GC Cawley, NLC Talbot‏
Neural networks 17 (10), 1467-1475, 2004‏
4282004
Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki‏
J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ...‏
Atmospheric Environment 37 (32), 4539-4550, 2003‏
4142003
Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters.‏
GC Cawley, NLC Talbot‏
Journal of Machine Learning Research 8 (4), 2007‏
3792007
Establishing glucose-and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine‏
Y Li, KK Lee, S Walsh, C Smith, S Hadingham, K Sorefan, G Cawley, ...‏
Genome research 16 (3), 414-427, 2006‏
3142006
Gene selection in cancer classification using sparse logistic regression with Bayesian regularization‏
GC Cawley, NLC Talbot‏
Bioinformatics 22 (19), 2348-2355, 2006‏
3032006
Sparse multinomial logistic regression via bayesian l1 regularisation‏
G Cawley, N Talbot, M Girolami‏
Advances in neural information processing systems 19, 2006‏
3002006
Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs‏
GC Cawley‏
The 2006 IEEE international joint conference on neural network proceedings …, 2006‏
2962006
Nested cross-validation when selecting classifiers is overzealous for most practical applications‏
J Wainer, G Cawley‏
Expert Systems with Applications 182, 115222, 2021‏
2752021
Model selection: Beyond the Bayesian/frequentist divide‏
I Guyon, A Saffari, G Dror, G Cawley‏
Journal of Machine Learning Research 11 (Jan), 61-87, 2010‏
2372010
A rigorous inter-comparison of ground-level ozone predictions‏
U Schlink, S Dorling, E Pelikan, G Nunnari, G Cawley, H Junninen, ...‏
Atmospheric Environment 37 (23), 3237-3253, 2003‏
1802003
Statistical models to assess the health effects and to forecast ground-level ozone‏
U Schlink, O Herbarth, M Richter, S Dorling, G Nunnari, G Cawley, ...‏
Environmental Modelling & Software 21 (4), 547-558, 2006‏
1652006
Design of the 2015 chalearn automl challenge‏
I Guyon, K Bennett, G Cawley, HJ Escalante, S Escalera, TK Ho, N Macià, ...‏
2015 International joint conference on neural networks (IJCNN), 1-8, 2015‏
1622015
Modelling SO2 concentration at a point with statistical approaches‏
G Nunnari, S Dorling, U Schlink, G Cawley, R Foxall, T Chatterton‏
Environmental Modelling & Software 19 (10), 887-905, 2004‏
1472004
Non-retrieval: blocking pornographic images‏
A Bosson, GC Cawley, Y Chan, R Harvey‏
International Conference on Image and Video Retrieval, 50-60, 2002‏
1322002
Results of the active learning challenge‏
I Guyon, GC Cawley, G Dror, V Lemaire‏
Active Learning and Experimental Design workshop In conjunction with AISTATS …, 2011‏
1192011
Efficient approximate leave-one-out cross-validation for kernel logistic regression‏
GC Cawley, NLC Talbot‏
Machine Learning 71, 243-264, 2008‏
1162008
Improved sparse least-squares support vector machines‏
GC Cawley, NLC Talbot‏
Neurocomputing 48 (1-4), 1025-1031, 2002‏
1112002
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20