Items where Research Group is "Faculty of Science > Research Groups > Computational Biology (subgroups are shown below) > Machine learning in computational biology

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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.


Harrison, R, Birchall, R, Mann, D and Wang, W (2011) A Novel Ensemble of Distance Measures for Feature Evaluation: Application to Sonar Imagery. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer, pp. 327-336.


Lines, Jason A., Bagnall, Anthony, Caiger-Smith, Patrick and Anderson, Simon (2011) Classification of Household Devices by Electricity Usage Profiles. Proceedings of the 12th International Conference on Intelligent Data Engineering and Automated Learning. pp. 403-412.


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

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