Real value solvent accessibility prediction using adaptive support vector regression Gubbi, Jayavardhana, Shilton, Alistair, Palaniswami, Marimuthu and Parker, Michael 2007, Real value solvent accessibility prediction using adaptive support vector regression, in CIBCB 2007 : Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 395-401, doi: 10.1109/CIBCB.2007.4221249. Attached Files Name Description MIMEType Size Downloads Title Real value solvent accessibility prediction using adaptive support vector regression Author(s) Gubbi, Jayavardhana Shilton, Alistair orcid.org/0000-0002-0849-3271 Palaniswami, Marimuthu Parker, Michael Conference name IEEE Computational Intelligence Society. Symposium (2007 : Honolulu, Hawaii) Conference location Honolulu, Hawaii Conference dates 2007/04/01 - 2007/04/05 Title of proceedings CIBCB 2007 : Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology Editor(s) [Unknown] Publication date 2007 Series IEEE Computational Intelligence Society Symposium Start page 395 End page 401 Total pages 7 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) solvents proteins support vector machines support vector machine classification neural networks sequences kernel feedforward systems multi-layer neural network feedforward neural networks ISBN 1424407109 9781424407101 Language eng DOI 10.1109/CIBCB.2007.4221249 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30125933 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 15 Jul 2019, 10:28:23 EST Tue, 16 Jul 2019, 05:00:42 EST Tue, 16 Jul 2019, 06:02:38 EST Mon, 29 Jun 2020, 09:02:26 EST Mon, 29 Jun 2020, 09:05:05 EST Sat, 13 Nov 2021, 01:30:20 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 179 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 15 Jul 2019, 10:28:23 EST