Background: The introduction of Kartu Prakerja (Pre-employment Card) Programme, henceforth KPP, which was claimed to have launched in order improve the quality workforce, spurred controversy among members public. discussion covered amount budget, training materials and operations brought out various reactions. Opinions could be largely divided into groups: positive negative sentiments.Objective...

We describe a Fourier Volume Rendering (FVR) algorithm for datasets that are irregularly sampled and require anisotropic (e.g., elliptical) kernels for reconstruction. We sample the continuous frequency spectrum of such datasets by computing the continuous Fourier transform of the spatial interpolation kernel which is a radially symmetric Gaussian basis function (RBF) that may be anisotropicall...

Regularized empirical risk minimization using kernels and their corresponding reproducing kernel Hilbert spaces (RKHSs) plays an important role in machine learning. However, the actually used kernel often depends on one or on a few hyperparameters or the kernel is even data dependent in a much more complicated manner. Examples are Gaussian RBF kernels, kernel learning, and hierarchical Gaussian...

Support Vector Machines (SVM) learning can be used to construct classification models of high accuracy. However, the performance of SVM learning should be improved. This paper proposes a bilinear grid search method to achieve higher computation efficiency in choosing kernel parameters (C, γ) of SVM with RBF kernel. Experiments show that the proposed method retains the advantages of a small numb...

NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets taking agreed action plans,such as notifying an administrator or rejecting the packets. In this study,the aim is implementation of NIDS with improved performance using anensemble Support Vector Machines (SVMs) Gaussian Mixture Model(GMM). Four SVMs Radial Basis Funct...

BBM, or fuel oil, is one of the essential needs Indonesian people. The government's policy regarding increase in prices raises many opinions from public. Twitter social media that people often use to express on a topic. In this study, sentiment analysis was carried out public opinion price media. This research expected help determine with positive, neutral and negative sentiments. method used S...

This paper presents the pruning and model-selecting algorithms to the support vector learning for sample classification and function regression. When constructing RBF network by support vector learning we occasionally obtain redundant support vectors which do not significantly affect the final classification and function approximation results. The pruning algorithms primarily based on the sensi...

This Research presents the effects of interaction between various Kernel functions and different Feature Selection Techniques for improving the learning capability of Support Vector Machine (SVM) in detecting email spams. The interaction of four Kernel functions of SVM i. e. "Normalised Polynomial Kernel (NP)", "Polynomial Kernel (PK)", "Radial Basis Function Kernel (RB...