False Positive (FP) True Negative (TN) 3 SVM-Methodology In recent years, the so-called support vector machine (SVM) which … support vector machine (SSVM) (Lee and Mangasarian, 2001), the smooth support vector machine with reduced kernel technique … instances in the training sample. 3.1 Smooth support vector machine The aim of SVM is to flnd the separating hyperplane with the …

criteria which can be computed directly from the deflnition of the support vector machine. We as- sess the predictive …-world benchmark datasets, we arrive at the same flndings. Key words: variable selection, support vector machine, information criterion …, we study classiflcation using the support vector machine (SVM). We start from a training setf(xi;yi)gcontaining n …

propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on …

propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on … propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on …-mail: moro@wiwi.hu-berlin.de. 1 Keywords: Support Vector Machine; Bankruptcy; Default Proba- bilities Prediction; Expected …

⁄ July 19, 2006 Econometric Institute Report EI 2006-25 Abstract To minimize the primal support vector machine (SVM) problem …

propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on … regression and confirms that higher risks need to be compensated by higher potential returns. -- Support Vector Machine … propose the so called Support Vector Machine (SVM) to estimate default probabilities of German firms. Our analysis is based on …

investigation on the small sample-oriented case-based kernel predictive method (SSOCBKPM) by integrating support vector machine in … dimension a hyper-plane of support vector machine is constructed by reusing the most similar cases. Two datasets for firm … is more useful in economic forecasting than case-based reasoning and support vector machine since the proportion of …

Support Vector Machine (SVM), is proposed to improve the quality of wind speed forecasting. The essence of the methodology …