Search Results - subject:"Support Vector Machine"

Emsia, Elmira; Coskuner, Cagay - In: Computational economics 48 (2016) 3, pp. 453-462

Persistent link: https://www.econbiz.de/10011712511

Loukeris, N.; Eleftheriadis, I.; Livanis, E. - In: Computational economics 48 (2016) 4, pp. 627-648

Persistent link: https://www.econbiz.de/10011713087

Julio, Nikolas; Giesen, Ricardo; Lizana, Pedro - In: Research in transportation economics 59 (2016), pp. 250-257

Persistent link: https://www.econbiz.de/10011706897

Frankel, Richard; Jennings, Jared; Lee, Joshua - In: Journal of accounting & economics 62 (2016) 2/3, pp. 209-227

Persistent link: https://www.econbiz.de/10011622188

Hobert, Gerard - In: Journal of accounting & economics 62 (2016) 2/3, pp. 228-233

Persistent link: https://www.econbiz.de/10011622189

Loh, Christian Sebastian (ed.); Sheng, Yanyan (ed.); … - 2016 - Softcover reprint of the hardcover 1st edition 2015

Persistent link: https://www.econbiz.de/10011564224

Ozturk, Huseyin; Namli, Ersin; Erdal, Halil İbrahim - In: Computational economics 48 (2016) 1, pp. 59-81

Persistent link: https://www.econbiz.de/10011646590

Fan, Liwei; Pan, Sijia; Li, Zimin; Li, Huiping - In: Technological forecasting & social change : an … 112 (2016), pp. 245-253

Persistent link: https://www.econbiz.de/10011612663

Hu, L - 2010

using three different predictor schemes, Artificial Neural Networks (ANNs), Support Vector Machine (SVM) and a hybrid scheme …

Persistent link: https://www.econbiz.de/10009465358

Härdle, Wolfgang Karl; Moro, Rouslan A.; Hoffmann, Linda - 2010

focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which …

Persistent link: https://www.econbiz.de/10010275893

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