Evaluation of Support Vector Machine Kernels for Detecting Network ...
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In this paper, we evaluate performance of SVM with linear, quadratic, and cubic kernels. The SVM kernels are compared based on accuracy and the F-Score when ...
In this paper, we evaluate performance of SVM with linear, quadratic, and cubic kernels. The SVM kernels are compared based on accuracy and the F-Score when ...
Apr 18, 2019 · In this Thesis, we evaluate the performance of linear, polynomial, quadratic, cubic, Gaussian radial basis function, and sigmoid SVM kernels ...
Anomaly detection categories including ML-based approaches, reachability-based methods, statistical pattern recognition, and validation studies based on ...
Harvard, Batta, p., (2019). 'Evaluation of Support Vector Machine Kernels for Detecting Network Anomalies'. Available at: https://catalog.caida.org/paper/ ...
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