Training a Support Vector Machine in the Primal
2007 ◽
Vol 19
(5)
◽
pp. 1155-1178
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Keyword(s):
Most literature on support vector machines (SVMs) concentrates on the dual optimization problem. In this letter, we point out that the primal problem can also be solved efficiently for both linear and nonlinear SVMs and that there is no reason for ignoring this possibility. On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated.
2010 ◽
pp. 340-349
2008 ◽
pp. 1277-1282
2006 ◽
Vol 3
(2)
◽
pp. 113-129
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Keyword(s):
2017 ◽
Vol 109
◽
pp. 215-230
◽
2013 ◽
Vol 13
(9)
◽
pp. 3981-4000
◽
Keyword(s):
2014 ◽
Vol 1061-1062
◽
pp. 935-938