On Mixtures of Linear SVMs for Nonlinear Classification Fu, Z and Robles-Kelly, Antonio 2008, On Mixtures of Linear SVMs for Nonlinear Classification, in Structural, syntactic, and statistical pattern recognition : Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008 : proceedings, Springer, Berlin, Germany, pp. 489-499, doi: 10.1007/978-3-540-89689-0. Attached Files Name Description MIMEType Size Downloads Title On Mixtures of Linear SVMs for Nonlinear Classification Author(s) Fu, Z Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971 Conference name International Workshop on Structural and Syntactic Pattern Recognition (12th : 2008 : Orlando, Fla.) Conference location Orlando, Fla. Conference dates 2008/12/04 - 2008/12/06 Title of proceedings Structural, syntactic, and statistical pattern recognition : Joint IAPR International Workshop, SSPR & SPR 2008, Orlando, USA, December 4-6, 2008 : proceedings Editor(s) DaVitoria Lobo, N Kasparis, T Roli, F Kwok, JT Georgiopoulos, M Anagnostopoulos, GC Loog, M Publication date 2008 Series Lecture Notes in Computer Science v.5342 Start page 489 End page 499 Total pages 11 Publisher Springer Place of publication Berlin, Germany Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science, Theory & Methods Computer Science ISBN 9783540896883 ISSN 0302-9743 Language eng DOI 10.1007/978-3-540-89689-0 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30125496 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version 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 Thu, 11 Jul 2019, 14:02:43 EST Fri, 12 Jul 2019, 05:02:30 EST Fri, 12 Jul 2019, 06:04:12 EST Thu, 07 Jan 2021, 10:37:03 EST Thu, 07 Jan 2021, 10:39:21 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 38 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 11 Jul 2019, 14:02:43 EST

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