Mixing linear SVMs for nonlinear classification

Fu, Zhouyu, Robles-Kelly, Antonio and Zhou, Jun 2010, Mixing linear SVMs for nonlinear classification, IEEE transactions on neural networks, vol. 21, no. 12, pp. 1963-1975, doi: 10.1109/TNN.2010.2080319.

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Title Mixing linear SVMs for nonlinear classification
Author(s) Fu, Zhouyu
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Zhou, Jun
Journal name IEEE transactions on neural networks
Volume number 21
Issue number 12
Start page 1963
End page 1975
Total pages 13
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2010-12
ISSN 1045-9227
Keyword(s) Classification
Expectation-maximization algorithm
Mixture of experts
Model selection
Support vector machines
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Language eng
DOI 10.1109/TNN.2010.2080319
Indigenous content off
Field of Research MD Multidisciplinary
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30119500

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