Items where Author is "Cawley, Gavin"

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Article

Veevers, Ruth, Cawley, Gavin and Hayward, Steven (2020) Investigation of sequence features of hinge-bending regions in proteins with domain movements using kernel logistic regression. BMC Bioinformatics, 21. ISSN 1471-2105

Wainer, Jacques and Cawley, Gavin (2017) Empirical evaluation of resampling procedures for optimising SVM hyperparameters. Journal of Machine Learning Research, 18 (15). pp. 1-35. ISSN 1532-4435

Cawley, Gavin C., Cowtan, Kevin, Way, Robert G., Jacobs, Peter and Jokimäki, Ari (2015) On a minimal model for estimating climate sensitivity. Ecological Modelling, 297. pp. 20-25. ISSN 0304-3800

Cawley, G.C. and Talbot, N.L.C. (2014) Kernel learning at the first level of inference. Neural Networks, 53. pp. 69-80. ISSN 0893-6080

Taylor, D., Cawley, G. and Hayward, S. (2014) Quantitative method for the assignment of hinge and shear mechanism in protein domain movements. Bioinformatics, 30 (22). pp. 3189-3196. ISSN 1367-4803

Taylor, Daniel, Cawley, Gavin and Hayward, Steven (2013) Classification of Protein Domain Movements using Dynamic Contact Graphs. PLoS One, 8 (11). ISSN 1932-6203

Zhang, Guang Lan, Ansari, Hifzur Rahman, Bradley, Phil, Cawley, Gavin C., Hertz, Tomer, Hue, Xihao, Jojic, Nebojsa, Kim, Yohan, Kohlbacher, Oliver, Lund, Ole, Lundegaardi, Claus, Magaret, Craig A., Nielsen, Morten, Papadopoulos, Harris, Raghava, G. P. S., Tal, Vider-Shalit, Xue, Li C., Yanover, Chen, Zhu, Shanfeng, Rock, Michael T., Crowe, James E., Panayiotou, Christos, Polycarpou, Marios M., Ducho, Włodzisław and Brusic, Vladimir (2011) Machine learning competition in immunology – Prediction of HLA class I binding peptides. Journal of Immunological Methods, 374 (1-2). pp. 1-4. ISSN 0022-1759

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. ISSN 1533-7928

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. ISSN 1533-7928

Cawley, G and Janacek, GJ (2010) On allometric equations for predicting body mass of dinosaurs. Journal of Zoology, 280 (4). pp. 355-361. ISSN 0952-8369

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, Isabelle, Saffari, Amir, Dror, Gideon and Cawley, Gavin (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 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. ISSN 1533-7928

Bagnall, Anthony J., Cawley, Gavin C., Whittley, Ian M., Bull, Larry, Studley, Matthew, Pettipher, Mike 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

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. ISSN 1097-0088

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. ISSN 1942-2156

Li, Yunhai, Lee, Kee Khoon, Walsh, Sean, Smith, Caroline, Hadingham, Sophie, Sorefan, Karim, Cawley, Gavin C. and Bevan, Michael W. (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, Uwe, Herbarth, Olf, Richter, Matthias, Dorling, Stephen, Nunnari, Giuseppe, Cawley, Gavin and Pelikan, Emil (2006) Statistical models to assess the health effects and to forecast ground-level ozone. Environmental Modelling and Software, 21 (4). pp. 547-558. ISSN 1873-6726

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, Jochen J., Cawley, Gavin C. and Villmann, Thomas (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. ISSN 1099-0763

Nunnari, Giuseppe, Dorling, Stephen, Schlink, Uwe, Cawley, Gavin, Foxall, Rob and Chatterton, Tim (2004) Modelling SO2 concentration at a point with statistical approaches. Environmental Modelling & Software, 19 (10). pp. 887-905. ISSN 1873-6726

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, Jaakko, Partanen, Leena, Karppinen, Ari, Ruuskanen, Juhani, Junninen, Heikki, Kolehmainen, Mikko, Niska, Harri, Dorling, Stephen, Chatterton, Tim, Foxall, Rob and Cawley, Gavin (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.

Schlink, Uwe, Dorling, Stephen R., Pelikan, Emil, Nunnari, Giuseppe, Cawley, Gavin, Junninen, Heikki, Greig, Alison J., Foxall, Rob, Eben, Krystof, Chatterton, Tim, Vondracek, Jiri, Richter, Matthias, Dostal, Michal, Bertucco, Libero, Kolehmainen, Mikko and Doyle, Martin (2003) A rigorous inter-comparison of ground-level ozone predictions. Atmospheric Environment, 37 (23). pp. 3237-3253.

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. ISSN 1530-888X

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. IEE 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. IEE Electronics Letters, 29 (5). pp. 442-443. ISSN 0013-5194

Book Section

Mohammed, Rekar O. and Cawley, Gavin C. (2017) Over-Fitting in Model Selection with Gaussian Process Regression. In: Machine Learning and Data Mining in Pattern Recognition. Lecture Notes in Computer Science, 10358 (1). Springer, pp. 192-205. ISBN 978-3-319-62415-0

Guyon, Isabelle, Cawley, Gavin, Bennett, Kristin, Jair Escalente, Hugo, Escalera, Sergio, Ho, Tin Kam, Macia, Nuria, Ray, Bisakha, Saeed, Mehreen, Statnikov, Alexander and Viegas, Evelyne (2015) Design of the 2015 ChaLearn AutoML challenge. In: Proceedings of International Joint Conference on Neural Networks (IJCNN). IEEE Press.

Cawley, G (2011) Baseline Methods for Active Learning. In: JMLR: Workshop and Conference Proceedings 16. JMLR Workshop and Conference Proceedings, 16 . Microtome, pp. 47-57.

Guyon, I, Cawley, G, Dror, G and Lemaire, V (2011) Results of the Active Learning Challenge. In: Workshop on Active Learning and Experimental Design. JMLR Workshop and Conference Proceedings, 16 . Microtome, pp. 19-45.

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

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, GBR, 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, ESP, pp. 681-686. ISBN 978-3-540-44074-1

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.

Foxall, Robert J., Cawley, Gavin C., Dorling, Stephen R. and Mandic, Danilo P. (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.

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, Barry, Bangham, J. Andrew, Kruse, Silko, Cawley, Gavin and Matthews, Iain (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

Middlehurst, Matthew, Large, James, Cawley, Gavin and Bagnall, Anthony (2020) The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification. In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020-09-14 - 2020-09-18. (In Press)

Saeed, Awat, Cawley, Gavin and Bagnall, Anthony (2015) Benchmarking the Semi-Supervised Naïve Bayes Classifier. In: The International Joint Conference on Neural Networks, 2015-07-12 - 2015-07-17.

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, 2010-05-16.

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), 2010-07-18 - 2010-07-23.

Cawley, G. C. (2009) Causal & non-causal feature selection for ridge regression. In: Journal of Machine Learning Research: Workshop and Conference Proceedings, 2008-06-01 - 2008-06-06.

Theobald, B, Cawley, G, Bangham, A and Matthews, I (2008) Comparing text-driven and speech-driven visual speech synthesisers. In: INTERSPEECH, 2011-01-01.

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), 2007-08-12 - 2007-08-17.

Cawley, G. C. (2007) Model selection for kernel probit regression. In: Proceedings of the European Symposium on Artificial Neural Networks, 2007-04-25 - 2007-04-27.

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, 2007-01-01.

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), 2007-08-12 - 2007-08-17.

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), 2006-10-01.

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), 2005-04-27 - 2005-04-29.

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), 2005-07-31 - 2005-08-04.

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), 2005-07-31 - 2005-08-04.

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), 2004-08-23 - 2004-08-26.

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), 2004-08-23 - 2004-08-26.

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), 2004-04-28 - 2004-04-30.

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), 2003-09-01 - 2003-09-04.

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), 2003-09-04 - 2003-09-07.

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), 2003-07-20 - 2003-07-24.

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), 2003-07-20 - 2003-07-24.

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), 2003-07-20 - 2003-07-24.

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), 2003-04-23 - 2003-04-25.

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), 2003-04-23 - 2003-04-25.

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), 2003-04-23 - 2003-04-25.

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), 2003-07-20 - 2003-07-24.

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, 2005-09-05 - 2005-09-08.

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), 2003-04-06 - 2003-04-10.

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), 2002-05-13 - 2002-05-17.

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), 2002-04-24 - 2002-04-26.

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, 2002-10-01.

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), 2002-04-24 - 2002-04-26.

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), 2001-09-07 - 2001-09-09.

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), 2001-07-16 - 2001-07-19.

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), 2001-05-07 - 2001-05-11.

Cawley, G.C. (2001) Efficient sequential minimal optimisation of support vector classifiers. In: International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA-2001), 2001-04-01.

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), 2001-04-01.

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), 1997-10-26 - 1997-10-29.

Cawley, Gavin C. (1996) An Improved Vector Quantisation Algorithm for Speech Transmission Over Noisy Channels. In: International Conference on Spoken Language Processing (ICSLP-96), 1996-10-01.

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), 1996-01-01.

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), 1996-01-01.

Lucas, S, Zhao, Z, Cawley, GC and Noakes, PD (1993) On decomposing MLPs. In: IEEE International Conference on Neural Networks (ICNN-93), 1993-01-01.

Thesis

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

This list was generated on Thu Oct 29 12:47:20 2020 GMT.