(bagged CART, bagged MARS, XGBoost, random forest, SVM) were optimized and applied for predicting occupancy. All models are …

classification data mining for the task of suspicious email detection based on deception theory. In this paper, email data was … classified using four different classifiers (Neural Network, SVM, Naïve Bayesian and Decision Tree). The experiment was performed …

Vector Machines (SVM) for financial data. The financial series are fitted into a family of Asymmetric Power ARCH (APARCH … inefficient when the data distribution shows departure from normality, so the current paper utilizes the nonparametric-based SVM … method and shows that it is more efficient than the QML under the skewed Student’s t-distributed error. As the SVM is a …