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131
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IJCNN
2000
IEEE
15 years 7 months ago
Support Vector Machine for Regression and Applications to Financial Forecasting
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
Theodore B. Trafalis, Huseyin Ince
102
Voted
ECAI
2004
Springer
15 years 8 months ago
Kernel Machine Based Feature Extraction Algorithms for Regression Problems
Csaba Szepesvári, András Kocsor, Kor...
80
Voted
NIPS
1996
15 years 4 months ago
Support Vector Regression Machines
Harris Drucker, Christopher J. C. Burges, Linda Ka...
85
Voted
JMLR
2008
81views more  JMLR 2008»
15 years 2 months ago
Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann, Arnout Van Messem