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nonparametric approach based on a combination of kernel logistic regression and ¡support vector regression. …
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discriminant analysis (LDA) under the normal setting, we contrast such algorithmic methods as the support vector machine (SVM) and … 60% for the SVM and 50% to 80% for boosting when compared to the LDA. However, a smooth variant of the SVM is shown to be … experiments under various settings for comparisons of finite-sample performance and robustness to mislabeling and model …
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