Ditemukan 3 dokumen yang sesuai dengan query
Rarasmaya Indraswari, author
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...
Surabaya: Faculty of Information Technology, Department of Informa Institut Teknologi Sepuluh Nopember, 2017
AJ-Pdf
Artikel Jurnal Universitas Indonesia Library
Many kinds of classification method are able to diagnose a patient who suffered Hepatitis disease. One of classification methods that can be used was Least Squares Support Vector Machines (LSSVM). There are two parameters that very influence to improve the classification accuracy on LSSVM, they are kernel parameter and regularization...
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Information and Technology, Department of Informatics, 2017
AJ-Pdf
Artikel Jurnal Universitas Indonesia Library
Datasets with heterogeneous features can affect feature selection results that are not appropriate because it is difficult to evaluate heterogeneous features concurrently. Feature transformation (FT) is another way to handle heterogeneous features subset selection. The results of transformation from non-numerical into numerical features may produce redundancy to the original numerical...
Paiton: STT Nurul Jadid Paiton, Department of Informatics, 2016
AJ-Pdf
Artikel Jurnal Universitas Indonesia Library
