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As a novel learning machine, the support vector machine (SVM) based on statistical learning theory can be used for regression: support vector regression (SVR). SVR has been applied successfully to time-series analysis, but its optimization algorithm is usually built up from certain quadratic programming (QP) packages. Therefore, for small datasets this is practical and QP routines are the best choice,...
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