Search Results - subject:"Support Vector Machine"

BANKRUPTCY PREDICTION BY USING SUPPORT VECTOR MACHINES AND GENETIC ALGORITHMS

Mahdi, Salehi; Neda, Rostami - In: Studies in Business and Economics 8 (2013) 1, pp. 104-114

The original purpose of this study is comparing of Support Vector Machine and Genetic Algorithm and impact of financial … models of Support Vector Machine and Genetic Algorithm. One of findings in this research is impact of financial ratios on …. Besides, they can decreases accuracy of prediction and may wrong introduce results of the research. Moreover, Support Vector …

Persistent link: https://www.econbiz.de/10010639278

Support Vector Machine GARCH and Neural Network GARCH Models in Modeling Conditional Volatility : An Application to Turkish Financial Markets

Bildirici, Melike - 2013

The Turkish version of this paper can be found at: "http://ssrn.com/abstract=2222071" http://ssrn.com/abstract=2222071The study aims to investigate linear GARCH, fractionally integrated FI-GARCH and Asymmetric Power APGARCH models and their nonlinear counterparts based on Support Vector...

Persistent link: https://www.econbiz.de/10013085814

Koşullu Volatilitenin Modellenmesinde Destek Vektör Makinesi GARCH Modeli Ve Türk Finans Piyasaları Üzerine Bir Uygulama (Support Vector Machine GARCH Model in Modelling Conditiona...

Bildirici, Melike - 2013

The English version of this paper can be found at: "http://ssrn.com/abstract=2227747" http://ssrn.com/abstract=2227747Çalışma, temel GARCH modelinin Destek Vektör Makinesi ve Yapay Sinir Ağları ile iyileştirilmiş modellerin incelenerek GARCH modelinin tahmin performansının...

Persistent link: https://www.econbiz.de/10013086361

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

Hecht, Robert - 2013

Persistent link: https://www.econbiz.de/10015203247

Patrones visuales en análisis técnico : identificación algorítmica y evaluación de estrategias de inversión

Ferro Cárdenas, Sergio Mario - 2013

Persistent link: https://www.econbiz.de/10010200525

Application of Stationary Wavelet Support Vector Machines for the Prediction of UK Economic Recession and Expansion Periods

Giovanis, Eleftherios - 2013

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/10014039546

Generative Model Based Video Shot Boundary Detection for Automated Surveillance

Chakraborty, Biswanath; Bhattacharyya, Siddhartha; … - In: International Journal of Ambient Computing and … 9 (2018) 4, pp. 69-95

-boundaries, the authors have applied the concepts of Support Vector Machine to estimate the distance between any two images, and then …

Persistent link: https://www.econbiz.de/10012042687

Algorithm of Fuzzy Support Vector Machine based on a Piecewise Linear Fuzzy Weight Method

Yuan, Yong-bin; Lan, Sheng; Yu, Xu; Yu, Miao - In: International Journal of Cognitive Informatics and … 12 (2018) 2, pp. 62-76

This article describes how fuzzy support vector machines (FSVMs) function well with good anti-noise performance, which receives the attention of many experts. However, the traditional center-distance fuzzy weight assignment method assigns support vectors with a small value of a membership degree...

Persistent link: https://www.econbiz.de/10012043707

An Automatic Method to Extract Online Foreign Language Learner Writing Error Characteristics

Hirokawa, Sachio; Flanagan, Brendan - In: International Journal of Distance Education … 16 (2018) 4, pp. 15-30

This article contends that the profile of a foreign language learner can contain valuable information about possible problems they will face during the learning process, and could be used to help personalize feedback. A particularly important attribute of a foreign language learner is their...

Persistent link: https://www.econbiz.de/10012044054

Social Media Mining for Assessing Brand Popularity

Al-Sheikh, Eman S; Hasanat, Mozaherul Hoque Abul - In: International Journal of Data Warehousing and Mining (IJDWM) 14 (2018) 1, pp. 40-59

Businesses seek to analyse their customer feedback to compare their brand's popularity with the popularity of competing brands. The increasing use of social media in recent years is producing large amounts of textual content, which has become rich source of data for brand popularity analysis. In...

Persistent link: https://www.econbiz.de/10012044239