Is SVM linear or nonlinear?
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| Papers (4) | Insight |
|---|---|
281 Citations | Non linear regression method is found to be suitable to train the SVM for this application. |
76 Citations | Comparative studies with some linear and other nonlinear methods show SVMs high performance both in classification and correlation. |
04 Dec 2008 | In this paper, we propose a new method for training mixtures of linear SVM classifiers for purposes of non-linear data classification. |
46 Citations | Several simulation examples show the sensitivity of the SVM parameters and demonstrate the superiority of this proposed method for nonlinear function approximation. |
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