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Developing parallel sequential minimal optimization for fast training support vector machine

✍ Scribed by L.J. Cao; S.S. Keerthi; C.J. Ong; P. Uvaraj; X.J. Fu; H.P. Lee


Book ID
113814755
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
395 KB
Volume
70
Category
Article
ISSN
0925-2312

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This work is concerned with the solution of the convex quadratic programming problem arising in training the learning machines named support vector machines. The problem is subject to box constraints and to a single linear equality constraint; it is dense and, for many practical applications, it bec