B

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

Bian, S. and Wang, W. (2006) Investigation on Diversity in Homogeneous and Heterogeneous Ensembles. In: International Joint Conference on Neural Networks, 2006-07-16 - 2006-07-21.

C

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.

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

G

Guile, G., Rae, S., Young, A. and Wang, W. (2006) What can we learn from follow-up DEXA scans? Osteoporosis International, 17 (4). p. 422. ISSN 0937-941X

H

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

L

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

R

Richards, G., Brazier, K. J. and Wang, W. (2006) Feature Salience Definition and Estimation and its Use in Feature Subset Selection. Intelligent Data Analysis, 10 (1). pp. 3-21. ISSN 1088-467X

Richards, G. and Wang, W. (2006) Investigations on the Characteristics of Random Decision Tree Ensembles. In: IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN '06), 2006-07-16 - 2006-07-21.

W

Wang, W., Rae, S. and Richards, G. (2006) Hybrid Data Mining Ensemble for Identifying Osteoporosis Risk Factors and Likelihood. Osteoporosis International, 17. p. 409. ISSN 0937-941X