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IJCNN
2008
IEEE
14 years 2 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
ICONIP
2004
13 years 9 months ago
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction
Recently, the Support Vector Regression (SVR) has been applied in the financial time series prediction. The financial data are usually highly noisy and contain outliers. Detecting ...
Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King...
VISUALIZATION
2005
IEEE
14 years 2 months ago
Particle and Texture Based Spatiotemporal Visualization of Time-Dependent Vector Fields
We propose a hybrid particle and texture based approach for the visualization of time-dependent vector fields. The underlying spacetime framework builds a dense vector field rep...
Daniel Weiskopf, Frederik Schramm, Gordon Erlebach...
VIS
2008
IEEE
175views Visualization» more  VIS 2008»
14 years 9 months ago
Generation of Accurate Integral Surfaces in Time-Dependent Vector Fields
We present a novel approach for the direct computation of integral surfaces in general vector fields. As opposed to previous work, which we analyze in detail, our approach is based...
Christoph Garth, Hari Krishnan, Xavier Tricoche,...
VIS
2004
IEEE
127views Visualization» more  VIS 2004»
14 years 9 months ago
Stream Line and Path Line Oriented Topology for 2D Time-Dependent Vector Fields
Topological methods aim at the segmentation of a vector field into areas of different flow behavior. For 2D time-dependent vector fields, two such segmentations are possible: eith...
Hans-Christian Hege, Hans-Peter Seidel, Holger The...