Items where Research Group is "Machine learning in computational biology

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Number of items: 8.


Barker, Gary C., Talbot, Nicola L. C. and Peck, Mike W. (2002) Risk assessment for Clostridium botulinum: a network approach. International Biodeterioration & Biodegradation, 50 (3-4). pp. 167-175. ISSN 0964-8305


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

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.


Rae, S. and Wang, W. (2002) Predicting osteoporosis from risk factors with data mining ensembles. In: International Osteoporosis Foundation: World Congress on Osteoporosis, 2002-05-10 - 2002-05-14.


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 (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.


Wang, W. (2002) Quantifying Relevance of Input Features. In: Intelligent Data Engineering and Automated Learning — IDEAL 2002 Third International Conference Manchester, UK, August 12–14, 2002 Proceedings. Lecture Notes in Computer Science, 2412 . Springer Berlin / Heidelberg, pp. 685-695. ISBN 978-3-540-44025-3

This list was generated on Wed Jan 22 11:37:03 2020 GMT.