Support vector machine (SVM) is a popular classification method for the analysis of wide range of data including big data. Many SVM methods with feature selection have been developed under frequentist ...

Electromagnetic emission characteristics can be detected from the work-state equipment or system for effective electromagnetic emission analysis. Regardless of how complex the electromagnetic emission ...

Improved performance on high-dimensional survival data by application of Survival-SVM. Bioinformatics (Oxford, England) 27, 87-94. Van Belle, V., Pelcmans, K., Van Huffel S. and Suykens J. A.K. (2011b ...

Hence, we utilized the SVM method with kernel types such as analysis of variance (ANOVA), linear SVM (LSVM), and library for support vector machine (LIBSVM) with radial basis function (RBF) on the ...

Keywords: data-driven method, interval power flow, support vector regression, distribution network, distributed generators. Citation: Liang X, Zhang H, Liu Q, Liu Z and Liu H (2024) A support vector ...