Article

Cawley, GC and Talbot, NLC (2010) On over-fitting in model selection and subsequent selection bias in performance evaluation. Journal of Machine Learning Research, 11. pp. 2079-2107.

Guyon, I, Saffari, A, Dror, G and Cawley, G (2010) Model selection: Beyond the Bayesian/frequentist divide. Journal of Machine Learning Research, 11. pp. 61-87.

Cawley, G and Janacek, GJ (2010) On allometric equations for predicting body mass of dinosaurs. Journal of Zoology, 280 (4). pp. 355-361. ISSN 1469-7998

Cawley, GC and Talbot, NLC (2008) Efficient approximate leave-one-out cross-validation for kernel logistic regression. Machine Learning, 71 (2-3). pp. 243-264.

Guyon, I, Saffari, A, Dror, G and Cawley, G (2008) Analysis of the IJCNN 2007 agnostic learning versus prior knowledge challenge. Neural Networks, 21 (2-3). pp. 544-550.

Saadi, K, Talbot, NLC and Cawley, GC (2007) Optimally regularised kernal Fisher discriminant classification. Neural Networks, 20 (7). pp. 832-841. ISSN 0893-6080

Cawley, GC, Janacek, GJ, Haylock, MR and Dorling, SR (2007) Predictive uncertainty in environmental modelling. Neural Networks, 20 (4). pp. 537-549.

Cawley, GC and Talbot, NLC (2007) Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters. Journal of Machine Learning Research, 8. pp. 841-861.

Bagnall, AJ, Cawley, GC, Bull, L, Whittley, IM, Studley, M, Pettipher, M and Tekiner, F (2007) Super Computer Heterogeneous Classifier Meta-Ensembles. International Journal of Data Warehousing and Mining (IJDWM), 3 (2). pp. 67-82. ISSN 1548-3924

Cawley, GC and Talbot, NLC (2006) Gene selection in cancer classification using sparse logistic regression with Bayesian regularisation. Bioinformatics, 22 (19). pp. 2348-2355. ISSN 1367-4803

Cawley, GC, Talbot, NLC, Janacek, GJ and Peck, MW (2006) Sparse Bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. IEEE Transactions on Neural Networks, 17 (2). pp. 471-481. ISSN 1045-9227

Bescoby, D.J, Cawley, GC and Chroston, N (2006) Enhanced interpretation of magnetic survey data from archaeological sites using artificial neural networks. Geophysics, 71 (5). pp. 45-53.

Cawley, GC, Haylock, MR and Dorling, SR (2006) Predictive uncertainty in environmental modelling. IEEE International Conference on Neural Networks - Conference Proceedings. pp. 5347-5354.

Haylock, MR, Cawley, GC, Harpham, C, Wilby, RL and Goodess, CM (2006) Downscaling heavy precipitation over the United Kingdom: A comparison of dynamical and statistical methods and their future scenarios. International Journal of Climatology, 26 (10). pp. 1397-1415.

Li, Y, Lee, KK, Walsh, S, Smith, C, Hadingham, S, Sorefan, K, Cawley, GC and Bevan, MW (2006) Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine. Genome Research, 16 (3). pp. 414-427. ISSN 1088-9051

Schlink, U, Herbarth, O, Richter, M, Dorling, S, Nunnari, G, Cawley, G and Pelikan, E (2006) Statistical models to assess the health effects and to forecast ground-level ozone. Environmental Modelling and Software, 21 (4). pp. 547-558.

Cawley, GC and Talbot, NLC (2005) The evidence framework applied to sparse kernel logistic regression. Neurocomputing, 64. pp. 119-135. ISSN 0925-2312

Cawley, Gavin C. and Talbot, Nicola L. C. (2005) Constructing Bayesian formulations of sparse kernel learning methods. Neural Networks, 18 (5-6). pp. 674-683. ISSN 0893-6080

Steil, J. J., Cawley, G. C. and Villmann, T. (2005) Trends in Neurocomputing at ESANN 2004. Neurocomputing, 64. pp. 1-4.

Cawley, Gavin C. and Talbot, Nicola L. C. (2004) Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks, 17 (10). pp. 1467-1475. ISSN 0893-6080

Theobald, B, Bangham, JA, Matthews, I and Cawley, GC (2004) Near-videorealistic synthetic talking faces: Implementation and evaluation. Speech Communication, 44 (1-4). pp. 127-140. ISSN 0167-6393

Cawley, Gavin C., Talbot, Nicola L. C., Foxall, Robert J., Dorling, Stephen R. and Mandic, Danilo P. (2004) Heteroscedastic kernel ridge regression. Neurocomputing, 57. pp. 105-124. ISSN 0925-2312

Bescoby, D.J, Cawley, GC and Chroston, N (2004) Enhanced interpretation of magnetic survey sata using artificial neural networks: A case study from Butrint, Southern Albania. Archaeological Prospection, 11. pp. 189-199.

Nunnari, G, Dorling, S, Schlink, U, Cawley, G, Foxall, R and Chatterton, T (2004) Modelling SO2 concentration at a point with statistical approaches. Environmental Modelling & Software, 19 (10). pp. 887-905. ISSN 13648152

Theobald, BJ, Kruse, SM, Bangham, JA and Cawley, GC (2003) Towards a low bandwidth talking face using appearance models. Image and Vision Computing, 21 (13-14). pp. 1117-1124. ISSN 0262-8856

Cawley, G. C. and Talbot, N. L. C. (2003) Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers. Pattern Recognition, 36 (11). pp. 2585-2592. ISSN 0031-3203

Dorling, Stephen R., Foxall, Robert J., Mandic, Danilo P. and Cawley, Gavin C. (2003) Maximum likelihood cost functions for neural network models of air quality data. Atmospheric Environment, 37 (24). pp. 3435-3443. ISSN 1352-2310

Kukkonen, J, Partanen, L, Karppinen, A, Ruuskanen, J, Junninen, H, Kolehmainen, M, Niska, H, Dorling, S, Foxall, R and Cawley, G (2003) 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. Atmospheric Environment, 37 (32). pp. 4539-4550. ISSN 13522310

Schlink, U, Dorling, SR, Pelikan, E, Nunnari, G, Cawley, G, Junninen, H, Greig, AJ, Foxall, R, Eben, K, Chatterton, T, Vondracek, J, Richter, M, Dostal, M, Bertucco, L, Kolehmainen, M and Doyle, M (2003) A rigorous inter-comparison of ground-level ozone predictions. Atmospheric Environment, 37 (23). pp. 3237-3253. ISSN 13522310

Cawley, G. C. and Talbot, N. L. C. (2002) Improved sparse least-squares support vector machines. Neurocomputing, 48 (1-4). pp. 1025-1031. ISSN 0925-2312

Cawley, G. C. and Talbot, N. L. C. (2002) Reduced rank kernel ridge regression. Neural Processing Letters, 16 (3). pp. 293-302. ISSN 1370-4621

Yli-Harja, O, Koivisto, P, Bangham, JA, Cawley, GC, Harvey, RW and Shmulevich, I (2001) Simplified implementation of the recursive median sieve. Signal Processing, 81 (7). pp. 1565-1570. ISSN 0165-1684

Cawley, G. C. (2000) On a fast, compact approximation of the exponential function. Neural Computation, 12 (9). pp. 2009-2012.

Theobald, Barry, Cox, Stephen, Cawley, Gavin and Milner, Ben (1999) Fast Method of Channel Equalisation for Speech Signals and its Implementation on a DSP. IEE Electronics Letters, 35 (16). pp. 1309-1311. ISSN 0013-5194

Cawley, G. C. and Talbot, N. L. C. (1996) Fast index assignment algorithm for vector quantisation over noisy transmission channels. Electronics Letters, 32 (15). pp. 1343-1344. ISSN 0013-5194

Lucas, S., Zhao, Z., Cawley, G. C. and Noakes, P. D. (1993) Pattern recognition with the decomposed multilayer perceptron. Electronic Letters, 29 (5). pp. 442-443. ISSN 0013-5194

Book Section

Cawley, G (2011) Baseline Methods for Active Learning. In: Active Learning and Experimental Design. JMLR Workshop and Conference Proceedings, 15 . Microtome, pp. 47-57. (In Press)

Guyon, I, Cawley, G, Dror, G and Lemaire, V (2011) Results of the Active Learning Challenge. In: Active Learning and Experimental Design. JMLR Workshop and Conference Proceedings, 15 . Microtome, pp. 1-18. (In Press)

Bagnall, A, Cawley, G, Whittley, I, Bull, L, Studley, M, Pettipher, M and Tekiner, F (2008) Super Computer Heterogeneous Classifier Meta-Ensembles. In: Data Warehousing and Mining: Concepts, Methodologies, Tools and Applications. IGI Global, pp. 1320-1333. ISBN 978-1599049519

Cawley, G. C., Talbot, N. L. C. and Girolami, M. (2007) Sparse multinomial logistic regression via Bayesian L1 regularisation. In: Advances in Neural Information Processing Systems. MIT Press, pp. 209-216. ISBN 9780262195683

Cawley, Gavin C., Talbot, Nicola L. C., Janacek, Gareth J. and Peck, Mike W. (2004) Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis. In: Deterministic and Statistical Methods in Machine Learning. Lecture Notes in Computer Science, 3635 . Springer Berlin / Heidelberg, pp. 37-55.

Partanen, L, Kukkonen, J, Karppinen, A, Ruuskanen, J, Patama, T, Kolehmainen, M, Dorling, S, Foxall, R and Cawley, G (2003) Inter-comparison of neural network, statistical and deterministic models for predicting the concentrations of NO2 and PM10 in urban air. In: Proceedings of the 4th International Conference on Urban Air Quality. Prague, Czech Republic, pp. 277-280.

Bosson, A., Cawley, G. C., Chan, Y. and Harvey, R. W. (2002) Non-retrieval: blocking pornographic images. In: Image and Video Retrieval. Lecture Notes in Computer Science, 2383 . Springer Berlin / Heidelberg, pp. 50-60. ISBN 978-3-540-43899-1

Cawley, Gavin C. and Talbot, Nicola L. C. (2002) A greedy training algorithm for sparse least-squares support vector machines. In: Artificial Neural Networks — ICANN 2002. Lecture Notes in Computer Science, 2415 . Springer Berlin / Heidelberg, pp. 681-686. ISBN 978-3-540-44074-1

Foxall, RJ, Cawley, GC, Dorling, SR and Mandic, DP (2002) Error functions for prediction of episodes of poor air quality. In: Proceedings of the International Confernce on Artificial Neural Networks. Springer, pp. 1031-1036.

Foxall, RJ, Cawley, GC, Talbot, NLC, Dorling, SR and Mandic, DP (2002) Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. In: Proceedings of the European Symposium on Artificial Neural Networks. Bruges, Belgium, pp. 19-24.

Cawley, GC, Dorling, SR, Foxall, RJ and Mandic, DP (2001) Estimating the costs associated with worthwhile predictions of poor air quality. In: Proceedings of the 5th International Conference on Artificial Neural Networks and Data Mining. Prague, Czech Republic.

Foxall, R, Krcmar, I, Cawley, GC, Dorling, SR and Mandic, DP (2001) On nonlinear processing of air pollution data. In: Proceedings of the 5th International Conference on Artificial Neural Networks and Data Mining. Prague, Czech Republic.

Theobald, B, Bangham, JA, Kruse, S, Cawley, GC and Matthews, I (2001) Towards videorealistic synthetic visual speech. In: Uncertainty in Geometric Computations. The Kluwer International Series in Engineering and Computer Science, 704 . Kluwer Academic Publishers, pp. 175-184. ISBN 978-0-7923-7309-4

Conference or Workshop Item

Cawley, Gavin (2010) Some Baseline Methods for the Active Learning Challenge. In: Thirteenth International Conference on Artificial Intelligence and Statistics. Workshop and Active Learning Competition, May 16, 2010.

Guyon, I., Cawley, G., Dror, G. and Lemaire, V. (2010) Design and Analysis of the WCCI 2010 Active Learning Challenge. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2010), July 18-23, 2010, Barcelona, Spain.

Cawley, G. C. (2009) Causal & non-causal feature selection for ridge regression. In: Journal of Machine Learning Research: Workshop and Conference Proceedings, June 1-6, 2008, Hong Kong.

Theobald, B, Cawley, G, Bangham, A and Matthews, I (2008) Comparing text-driven and speech-driven visual speech synthesisers. In: Interspeech.

Cawley, G. C and Talbot, N. L. C (2007) Agnostic learning versus prior knowledge in the design of kernel machines. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2007), 12-17 Aug. 2007, Orlando, Florida.

Cawley, G. C. (2007) Model selection for kernel probit regression. In: Proceedings of the European Symposium on Artificial Neural Networks, 25-27 April 2007, Bruges, Belgium.

Cawley, G. C., Janacek, G. J. and Talbot, N. L. C. (2007) Generalised Kernel Machines. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks, Orlando, Florida.

Guyon, I., Saffari, A., Dror, G. and Cawley, G. C. (2007) Agnostic learning vs. prior knowledge challenge. In: Proceedings of the IEEE/INNS International Joint Conference on Neural Networks (IJCNN-2007), 12-17 Aug. 2007, Orlando, Florida.

Cawley, G. C. (2006) Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), October 2006, Vancouver, BC.

Lee, K. K., Cawley, G. C. and Bevan, M. W. (2005) Sparse Bayesian promoter based gene classification. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2005), 27-29 April 2005, Bruges, Belgium.

Cawley, Gavin C. and Talbot, Nicola L. C. (2005) A simple trick for constructing Bayesian formulations of sparse kernel learning methods. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2005), 31 July-4 Aug. 2005.

Saadi, K., Lee, K. K., Cawley, G. C. and Bevan, M. W. (2005) Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2005), July 31 2005-Aug. 4 2005.

Cawley, G. C. and Talbot, N. L. C. (2004) Efficient model selection for kernel logistic regression. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004), 23-26 Aug. 2004.

Saadi, K., Talbot, N. L. C. and Cawley, G. C. (2004) Optimally regularised kernel Fisher discriminant analysis. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR-2004), 23-26 Aug. 2004.

Cawley, G. C. and Talbot, N. L. C. (2004) Sparse Bayesian kernel logistic regression. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2004), 28-30 April 2004, Bruges, Belgium.

Cox, Stephen J. and Cawley, Gavin C. (2003) The Use of Confidence Measures in Vector Based Call-Routing. In: 8th European Conference on Speech Communication and Technology (EUROSPEECH 2003), September 1-4, 2003, Geneva, Switzerland.

Theobald, B-J, Bangham, JA, Matthews, I and Cawley, GC (2003) Evaluating talking heads based on appearance models. In: Proceedings of the International Conference on Auditory-Visual Speech Processing (AVSP-2003), September 4-7, 2003, St. Jorioz, France.

Bagnall, AJ and Cawley, GC (2003) Learning classifier systems for data mining: a comparison of XCS with other classifiers for the Forest Cover data set. In: Proceedings of the IEEE/INNS International Joint Conference on Artificial Neural Networks (IJCNN-2003), 20-24 July 2003, Portland, OR.

Bescoby, DJ, Cawley, GC and Chroston, PN (2003) Interpretation of geophysical surveys of archaeological sites using artificial neural networks. In: Proceedings of the IEEE/INNS International Joint Conference on Artificial Neural Networks (IJCNN-2003), 20-24 July 2003.

Foxall, R. J., Cawley, G. C. and Peck, M. W. (2003) Modelling the growth domain of Clostridium botulinum via kernel survival analysis. In: Proceedings of the IEEE/INNS International Joint Conference on Artificial Neural Networks (IJCNN-2003), 20-24 July 2003.

Cawley, GC, Haylock, M, Dorling, SR, Goodess, C and Jones, PD (2003) Statistical downscaling with artificial neural networks. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2003), 23-25 April 2003, Bruges, Belgium.

Cawley, Gavin C. and Talbot, Nicola L. C. (2003) Efficient cross-validation of kernel Fisher discriminant classifiers. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2003), 23-25 April 2003, Bruges, Belgium.

Cawley, Gavin C., Talbot, Nicola L. C., Foxall, Robert J., Dorling, Stephen R. and Mandic, Danilo P. (2003) Approximately Unbiased Estimation of Conditional Variance in Heteroscedastic Kernel Ridge Regression. In: Proceedings of the European Symposium on Artificial Neural Networks (ESANN-2003), 23-25 April 2003, Bruges, Belgium.

Lan, Y., Cawley, G. C. and Harvey, R. W. (2003) Train-spotting: building classifiers for microarrays. In: Proceedings of the IEEE/INNS International Joint Conference on Artificial Neural Networks (IJCNN-2003), 20-24 July 2003.

Theobald, B, Cawley, GC, Glauert, JRW, Abider, JA and Matthews, I (2003) 2.5D Visual Speech Synthesis Using Appearance Models. In: British Machine Vision Conference, Norwich, UK.

Theobald, BJ, Cawley, GC, Matthews, I and Bangham, JA (2003) Near-videorealistic synthetic visual speech using non-rigid appearance models. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '03), 6-10 April 2003, Hong Kong, China.

Theobald, B, Bangham, JA, Matthews, I and Cawley, GC (2002) Towards video realistic synthetic visual speech. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP- 2002), 13-17 May 2002, Orlando, Florida.

Cawley, Gavin C. and Talbot, Nicola L. C. (2002) Efficient formation of a basis in a kernel induced feature space. In: European Symposium on Artificial Neural Networks (ESANN 2002), 24-26th April 2002, Bruges, Belgium.

Kukkonen, J, Karppinen, A, Wallenius, L, Ruuskanen, J, Patama, T, Kolehmainen, M, Dorling, SR, Foxall, R, Cawley, GC, Mandic, D, Chatterton, T, Zickus, M and Greig, A (2002) Evaluation of neural network, statistical and deterministic models against the measured concentrations of NO2, PM10 and PM2.5 in an urban area. In: 8th International Conference on Harmonisation Within Atmospheric Dispersion Modelling for Regulatory Purposes, October 2002, Sofia, Bulgaria.

Saadi, K., Cawley, G. C. and Talbot, N. L. C. (2002) Fast exact leave-one-out cross-validation of least-square support vector machines. In: European Symposium on Artificial Neural Networks (ESANN-2002), 24-26 April 2002, Bruges, Belgium.

Theobald, B, Bangham, JA, Matthews, I and Cawley, GC (2001) Visual speech synthesis using statistical models of shape and appearance. In: International Conference on Auditory-Visual Speech Processing (AVSP-2001), September 7-9, 2001, Aalborg, Denmark.

Cawley, Gavin C. and Talbot, Nicola L. C. (2001) Manipulation of prior probabilities in support vector classifications. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN-2001), 16-19 July 2001, Washington, DC, USA.

Foxall, R. J., Krcmar, I., Cawley, G. C., Dorling, S. R. and Mandic, D. P. (2001) Nonlinear modelling of air pollution time series. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-2001), 7-11 May 2001, Salt Lake City, UT , USA .

Cawley, G.C. (2001) Efficient sequential minimal optimisation of support vector classifiers. In: International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), Prague, Czech Republic.

Cawley, G. C. (2001) Model selection for support vector machines via adaptive step-size tabu search. In: International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001).

Talbot, Nicola L. C. and Cawley, Gavin C. (1997) A Fast Index Assignment Method for Robust Vector Quantisation of Image Data. In: I.E.E.E. International Conference on Image Processing (ICIP-97), 26 Oct 1997 - 29 Oct 1997, Santa Barbara, CA, USA.

Cawley, Gavin C. (1996) An Improved Vector Quantisation Algorithm for Speech Transmission Over Noisy Channels. In: International Conference on Spoken Language Processing (ICSLP-96).

Cawley, Gavin C. and Dorling, Stephen R. (1996) Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom using a Neural Network. In: International Conference on Artificial Neural Networks (ICANN-96).

Talbot, Nicola L. C. and Cawley, Gavin C. (1996) A Quadratic Index Assignment Algorithm for Vector Quantisation over Noisy Transmission Channels. In: Institute of Acoustics Autumn Conference (Speech and Hearing 96).

Lucas, S, Zhao, Z, Cawley, GC and Noakes, PD (1993) On decomposing MLPs. In: IEEE International Conference on Neural Networks (ICNN-93).

Thesis

Cawley, G.C. (1996) The Application of Neural Networks to Phonetic Modelling. Doctoral thesis, University of Essex, Colchester, Essex.