soft margin svms | Sciweavers

PAMI
2010

132views more PAMI 2010»

Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters

13 years 3 months ago

—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when ﬂexible kernels are to be adapted and data are scarce....

Tobias Glasmachers, Christian Igel

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PAKDD
2005
ACM

111views Data Mining» more PAKDD 2005»

Training Support Vector Machines Using Greedy Stagewise Algorithm

13 years 10 months ago

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Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this

Liefeng Bo, Ling Wang, Licheng Jiao

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