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Rarasmaya Indraswari
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SVM (Support Vector Machine) with RBF (Radial Basis Function) kernel is a frequently used classification method because usually it provides accurate results. The focus of most SVMoptimization research is the optimization of the input data, whereas the parameter of the kernel function (RBF), the sigma, which is used in SVM also has the potential to improve the performance of SVM when optimized. In this research, we proposed a new method of RBF kernel optimization with ...
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Surabaya: Faculty of Information Technology, Department of Informa Institut Teknologi Sepuluh Nopember, 2017
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