- Volume 22 Issue 2
Support vector machine (SVM) is a well known kernel-trick supervised learning tool. This study proposes a working scheme for kernel-trick regression and classification (KtRC) as a SVM alternative. KtRC fits the model on a number of random subsamples and selects the best model. Empirical examples and a simulation study indicate that KtRC's performance is comparable to SVM.
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- Ensemble approach for improving prediction in kernel regression and classification vol.23, pp.4, 2016, https://doi.org/10.5351/CSAM.2016.23.4.355