Search Results - subject:"Support Vector Machine"

Comparison Between Wind Power Prediction Models Based on Wavelet Decomposition with Least-Squares Support Vector Machine (LS-SVM) and Artificial Neural Network (ANN)

Giorgi, Maria Grazia De; Campilongo, Stefano; … - In: Energies 7 (2014) 8, pp. 5251-5272

farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM) with Wavelet …

Persistent link: https://www.econbiz.de/10010886253

PREDICTING BUSINESS FAILURE USING DATA-MINING METHODS

JABEUR, Sami BEN; FAHMI, Youssef - Institut de Préparation à l'Administration et à la … - 2014

use the PLS (Partial Least-Squares) discriminant analysis and support vector machine (SVM). The PLS discriminant analysis …

Persistent link: https://www.econbiz.de/10010778674

Directional Forecasting in Financial Time Series Using Support Vector Machines : The USD/EURO Exchange Rate

Plakandaras, Vasilios - 2014

In this paper, we present a novel machine learning based forecasting system of the EUR/USD exchange rate directional changes. Specifically, we feed an overcomplete variable set to a Support Vector Machines (SVM) model and refine it through a Sensitivity Analysis process. The dataset spans from...

Persistent link: https://www.econbiz.de/10013059838

Information processing, pattern transmission and aggregate consumption patterns in New Zealand

Farhat, Daniel - 2014

Persistent link: https://www.econbiz.de/10010349026

Artificial neural networks and aggregate consumption patterns in New Zealand

Farhat, Daniel - 2014

Persistent link: https://www.econbiz.de/10010349036

Automatische Klassifizierung von Gebäudegrundrissen : ein Beitrag zur kleinräumigen Beschreibung der Siedlungsstruktur

Hecht, Robert - 2014

In der Planung und Wissenschaft werden zur Modellierung von Prozessen kleinräumige Informationen zum Gebäudebestand (Gebäudetyp, Verteilung, Baualter, etc.) benötigt. In den Geodaten, Karten und Diensten der Vermessungsverwaltungen sind die Gebäude in ihrem Grundriss modelliert, enthalten...

Persistent link: https://www.econbiz.de/10010361529

Tehran stock price modeling and forecasting using support vector regression (SVR) and its comparison with the classic model ARIMA

Hajibabaei, Saeed; Hajibabaei, Nematollah; Hosseini, … - In: Iranian economic review : journal of University of Tehran 18 (2014) 2, pp. 105-130

Persistent link: https://www.econbiz.de/10011455426

Application of Stationary Wavelet Support Vector Machines for the Prediction of Economic Recessions

Giovanis, Eleftherios - 2014

This paper examines the efficiency of various approaches on the classification and prediction of economic expansion and recession periods in United Kingdom. Four approaches are applied. The first is discrete choice models using Logit and Probit regressions, while the second approach is a Markov...

Persistent link: https://www.econbiz.de/10013044012

Asymmetric least squares support vector machine classifiers

Huang, Xiaolin; Shi, Lei; Suykens, Johan A.K. - In: Computational Statistics & Data Analysis 70 (2014) C, pp. 395-405

In the field of classification, the support vector machine (SVM) pursues a large margin between two classes. The margin …

Persistent link: https://www.econbiz.de/10010719657

Imbalance-oriented SVM methods for financial distress prediction : a comparative study among the new SB-SVM-ensemle method and traditional methods

Sun, Jie; Shang, Zhiming; Li, Hui - In: Journal of the Operational Research Society : OR 65 (2014) 12, pp. 1896-1904

Persistent link: https://www.econbiz.de/10010481864