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» Predicting Time Series with Support Vector Machines
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ICANN
1997
Springer
13 years 9 months ago
Predicting Time Series with Support Vector Machines
Klaus-Robert Müller, Alex J. Smola, Gunnar R&...
IJCNN
2008
IEEE
13 years 11 months ago
Support vector machines and dynamic time warping for time series
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
ESANN
2006
13 years 6 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
IWANN
2005
Springer
13 years 10 months ago
Direct and Recursive Prediction of Time Series Using Mutual Information Selection
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
IJCNN
2008
IEEE
13 years 11 months ago
Financial time series prediction using a support vector regression network
Abstract— This paper presents a novel support vector regression (SVR) network for financial time series prediction. The SVR network consists of two layers of SVR: transformation...
Boyang Li, Jinglu Hu, Kotaro Hirasawa