A New Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series

Pervasive Computing and the Networked World - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37015-1_68 ◽

2013 ◽

pp. 775-787 ◽

Cited By ~ 1

Author(s):

Yanhua Yu ◽

Junde Song ◽

Zhijun Ren

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach

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A Novel Hyper-parameters Selection Approach for Support Vector Machines to Predict Time Series

Journal of Computers ◽

10.4304/jcp.7.12.2921-2930 ◽

2012 ◽

Vol 7 (12) ◽

Cited By ~ 1

Author(s):

Yanhua Yu ◽

Meina Song ◽

Junde Song

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach

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Redundancy-test-based hyper-parameters selection approach for support vector machines to predict time series

Acta Physica Sinica ◽

10.7498/aps.61.170516 ◽

2012 ◽

Vol 61 (17) ◽

pp. 170516

Author(s):

Yu Yan-Hua ◽

Song Jun-De

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach ◽

Redundancy Test

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A ovel Parameters Selection Approach for Support Vector Machines to Predict Time Series

2008 Third International Conference on Pervasive Computing and Applications ◽

10.1109/icpca.2008.4783728 ◽

2008 ◽

Author(s):

Yanhua Yu ◽

Zhijun Ren

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Selection Approach

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Modified support vector machines in financial time series forecasting

Neurocomputing ◽

10.1016/s0925-2312(01)00676-2 ◽

2002 ◽

Vol 48 (1-4) ◽

pp. 847-861 ◽

Cited By ~ 247

Author(s):

Francis E.H. Tay ◽

L.J. Cao

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.b0961 ◽

2005 ◽

Vol 6B (10) ◽

pp. 961-973 ◽

Cited By ~ 17

Author(s):

Yong Mao ◽

Xiao-bo Zhou ◽

Dao-ying Pi ◽

You-xian Sun ◽

Stephen T.C. Wong

Keyword(s):

Genetic Algorithm ◽

Support Vector Machines ◽

Gene Selection ◽

Gaussian Kernel ◽

Support Vector ◽

Parameters Selection ◽

Vector Machines ◽

Kernel Support Vector Machines

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Sensitivity analysis for time lag selection to forecast seasonal time series using Neural Networks and Support Vector Machines

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596890 ◽

2010 ◽

Cited By ~ 14

Author(s):

Paulo Cortez

Keyword(s):

Neural Networks ◽

Time Series ◽

Sensitivity Analysis ◽

Support Vector Machines ◽

Time Lag ◽

Support Vector ◽

Seasonal Time Series ◽

Lag Selection ◽

Vector Machines

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Directional Forecasting in Financial Time Series Using Support Vector Machines: The USD/EURO Exchange Rate

SSRN Electronic Journal ◽

10.2139/ssrn.2387655 ◽

2011 ◽

Author(s):

Vasilios Plakandaras ◽

Periklis Gogas ◽

Theophilos Papadimitriou

Keyword(s):

Time Series ◽

Exchange Rate ◽

Support Vector Machines ◽

Financial Time Series ◽

Support Vector ◽

Financial Time ◽

Vector Machines

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Support Vector Machines of Interval-based Features for Time Series Classification

Research and Development in Intelligent Systems XXI ◽

10.1007/1-84628-102-4_18 ◽

2007 ◽

pp. 244-257 ◽

Cited By ~ 2

Author(s):

Juan José Rodríguez ◽

Carlos J. Alonso

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Support Vector ◽

Time Series Classification ◽

Vector Machines

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Feature Selection for Support Vector Machines in Financial Time Series Forecasting

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents - Lecture Notes in Computer Science ◽

10.1007/3-540-44491-2_38 ◽

2000 ◽

pp. 268-273 ◽

Cited By ~ 5

Author(s):

L. J. Cao ◽

Francis E. H. Tay

Keyword(s):

Time Series ◽

Feature Selection ◽

Support Vector Machines ◽

Financial Time Series ◽

Time Series Forecasting ◽

Support Vector ◽

Financial Time ◽

Vector Machines ◽

Selection For

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Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/11893028_100 ◽

2006 ◽

pp. 900-906 ◽

Cited By ~ 3

Author(s):

Jiancheng Sun ◽

Yatong Zhou ◽

Yaohui Bai ◽

Jianguo Luo

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Noise Reduction ◽

Least Squares ◽

Chaotic Time Series ◽

Support Vector ◽

Vector Machines ◽

Nonlinear Noise

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