Abstract: This study provides a performance evaluation of several Support Vector Machine (SVM) kernel functions (Linear, Polynomial, Radial Basis Function (RBF), Sigmoid) for detecting UDP flood ...
Abstract: Support Vector Machines (SVMs) are powerful supervised learning algorithms that are extensively used for both classification and regression tasks. An important component of SVMs is the ...
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