Gavin C. Cawley

2008
47	EE	Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge. Neural Networks 21(2-3): 544-550 (2008)
2007
46	EE	Gavin C. Cawley: Model Selection for Kernel Probit Regression. ESANN 2007: 217-222
45	EE	Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. Talbot: Generalised Kernel Machines. IJCNN 2007: 1720-1725
44	EE	Gavin C. Cawley, Nicola L. C. Talbot: Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines. IJCNN 2007: 1732-1737
43	EE	Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C. Cawley: Agnostic Learning vs. Prior Knowledge Challenge. IJCNN 2007: 829-834
42	EE	Gavin C. Cawley: An Empirical Evaluation of the Fuzzy Kernel Perceptron. IEEE Transactions on Neural Networks 18(3): 935-937 (2007)
41	EE	Gavin C. Cawley, Gareth J. Janacek, Malcolm R. Haylock, Stephen R. Dorling: Predictive uncertainty in environmental modelling. Neural Networks 20(4): 537-549 (2007)
40	EE	Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally regularised kernel Fisher discriminant classification. Neural Networks 20(7): 832-841 (2007)
2006
39	EE	Gavin C. Cawley: Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. IJCNN 2006: 1661-1668
38	EE	Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling: Predictive Uncertainty in Environmental Modelling. IJCNN 2006: 5347-5354
37	EE	Gavin C. Cawley, Nicola L. C. Talbot, Mark Girolami: Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation. NIPS 2006: 209-216
36	EE	Gavin C. Cawley, Nicola L. C. Talbot: Gene selection in cancer classification using sparse logistic regression with Bayesian regularization. Bioinformatics 22(19): 2348-2355 (2006)
35	EE	Uwe Schlink, Olf Herbarth, Matthias Richter, Stephen R. Dorling, Giuseppe Nunnari, Gavin C. Cawley, Emil Pelikán: Statistical models to assess the health effects and to forecast ground-level ozone. Environmental Modelling and Software 21(4): 547-558 (2006)
34	EE	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 Transactions on Neural Networks 17(2): 471-481 (2006)
33	EE	Jochen J. Steil, Gavin C. Cawley, Fabrice Rossi: New Issues in Neurocomputing. Neurocomputing 69(7-9): 625-626 (2006)
2005
32	EE	Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan: sparse Bayesian promoter based gene classification. ESANN 2005: 527-532
31	EE	Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle: Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77
30	EE	Gavin C. Cawley, Nicola L. C. Talbot: Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks 18(5-6): 674-683 (2005)
29	EE	Jochen J. Steil, Gavin C. Cawley, Thomas Villmann: Trends in Neurocomputing at ESANN 2004. Neurocomputing 64: 1-4 (2005)
28	EE	Gavin C. Cawley, Nicola L. C. Talbot: The evidence framework applied to sparse kernel logistic regression. Neurocomputing 64: 119-135 (2005)
2004
27	EE	Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Michael Peck: Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. Deterministic and Statistical Methods in Machine Learning 2004: 37-55
26	EE	Gavin C. Cawley, Nicola L. C. Talbot: Sparse Bayesian kernel logistic regression. ESANN 2004: 133-138
25	EE	Kamel Saadi, Nicola L. C. Talbot, Gavin C. Cawley: Optimally Regularised Kernel Fisher Discriminant Analysis. ICPR (2) 2004: 427-430
24	EE	Gavin C. Cawley, Nicola L. C. Talbot: Efficient Model Selection for Kernel Logistic Regression. ICPR (2) 2004: 439-442
23	EE	Giuseppe Nunnari, Stephen R. Dorling, Uwe Schlink, Gavin C. Cawley, Robert J. Foxall, Tim Chatterton: Modelling SO2 concentration at a point with statistical approaches. Environmental Modelling and Software 19(10): 887-905 (2004)
22	EE	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)
21	EE	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)
20	EE	Barry-John Theobald, J. Andrew Bangham, Iain A. Matthews, Gavin C. Cawley: Near-videorealistic synthetic talking faces: implementation and evaluation. Speech Communication 44(1-4): 127-140 (2004)
2003
19	EE	Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones: Statistical downscaling with artificial neural networks. ESANN 2003: 167-172
18	EE	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
17	EE	Gavin C. Cawley, Nicola L. C. Talbot: Efficient cross-validation of kernel fisher discriminant classifiers. ESANN 2003: 241-246
16	EE	Barry Theobald, Silko Kruse, J. Andrew Bangham, Gavin C. Cawley: Towards a low bandwidth talking face using appearance models. Image Vision Comput. 21(13-14): 1117-1124 (2003)
15	EE	Gavin C. Cawley, Nicola L. C. Talbot: Efficient leave-one-out cross-validation of kernel fisher discriminant classifiers. Pattern Recognition 36(11): 2585-2592 (2003)
2002
14	EE	Alison Bosson, Gavin C. Cawley, Yi Chan, Richard Harvey: Non-retrieval: Blocking Pornographic Images. CIVR 2002: 50-60
13		Gavin C. Cawley, Nicola L. C. Talbot: Efficient formation of a basis in a kernel induced feature space. ESANN 2002: 1-6
12		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
11		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
10	EE	Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic: Error Functions for Prediction of Episodes of Poor Air Quality. ICANN 2002: 1031-1036
9	EE	Gavin C. Cawley, Nicola L. C. Talbot: A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. ICANN 2002: 681-686
8		Gavin C. Cawley, Nicola L. C. Talbot: Reduced Rank Kernel Ridge Regression. Neural Processing Letters 16(3): 293-302 (2002)
7	EE	Gavin C. Cawley, Nicola L. C. Talbot: Improved sparse least-squares support vector machines. Neurocomputing 48(1-4): 1025-1031 (2002)
2001
6	EE	Barry Theobald, Gavin C. Cawley, Silko Kruse, J. Andrew Bangham: Towards a low bandwidth talking face using appearance models. BMVC 2001
5	EE	Olli Yli-Harja, Pertti Koivisto, J. Andrew Bangham, Gavin C. Cawley, Richard Harvey, Ilya Shmulevich: Simplified implementation of the recursive median sieve. Signal Processing 81(7): 1565-1570 (2001)
2000
4		Gavin C. Cawley: On a Fast, Compact Approximation of the Exponential Function. Neural Computation 12(9): 2009-2012 (2000)
1998
3	EE	J. Andrew Bangham, J. R. Hidalgo, Richard Harvey, Gavin C. Cawley: The Segmentation of Images via Scale-Space Trees. BMVC 1998
1997
2	EE	Nicola L. C. Talbot, Gavin C. Cawley: A Fast Index Assignment Method for Robust Vector Quantization of Image Data. ICIP (3) 1997: 674-677
1996
1		Gavin C. Cawley, Stephen R. Dorling: Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom Using a Neural Network. ICANN 1996: 281-286

Coauthor Index

1	J. Andrew Bangham	[3] [5] [6] [16] [20]
2	Michael W. Bevan	[32]
3	Alison Bosson	[14]
4	Yi Chan	[14]
5	Olivier Chapelle	[31]
6	Tim Chatterton	[23]
7	Stephen R. Dorling	[1] [10] [11] [18] [19] [21] [23] [35] [38] [41]
8	Gideon Dror	[43] [47]
9	Robert J. Foxall	[10] [11] [18] [21] [23]
10	Mark A. Girolami (Mark Girolami)	[37]
11	Clare Goodess	[19]
12	Isabelle Guyon	[43] [47]
13	Richard Harvey	[3] [5] [14]
14	Malcolm R. Haylock	[19] [38] [41]
15	Olf Herbarth	[35]
16	J. R. Hidalgo	[3]
17	Gareth J. Janacek	[27] [34] [41] [45]
18	Phil D. Jones	[19]
19	Pertti Koivisto	[5]
20	Silko Kruse	[6] [16]
21	Kee Khoon Lee	[32]
22	Danilo P. Mandic	[10] [11] [18] [21]
23	Iain A. Matthews	[20]
24	Giuseppe Nunnari	[23] [35]
25	Michael Peck	[27]
26	Mike W. Peck	[34]
27	Emil Pelikán	[35]
28	Matthias Richter	[35]
29	Fabrice Rossi	[33]
30	Kamel Saadi	[12] [25] [40]
31	Amir Saffari	[43] [47]
32	Uwe Schlink	[23] [35]
33	Ilya Shmulevich	[5]
34	Jochen J. Steil	[29] [33]
35	Nicola L. C. Talbot	[2] [7] [8] [9] [11] [12] [13] [15] [17] [18] [21] [22] [24] [25] [26] [27] [28] [30] [31] [34] [36] [37] [40] [44] [45]
36	Barry Theobald	[6] [16]
37	Barry-John Theobald	[20]
38	Thomas Villmann	[29]
39	Olli Yli-Harja	[5]

Colors in the list of coauthors