Developing fast predictors for large-scale time series using fuzzy granular support vector machines

Applied Soft Computing ◽

10.1016/j.asoc.2012.09.005 ◽

2013 ◽

Vol 13 (9) ◽

pp. 3981-4000 ◽

Author(s):

Junhu Ruan ◽

Xuping Wang ◽

Yan Shi

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Large Scale ◽

Support Vector ◽

Vector Machines

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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 ◽

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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Large-scale pinball twin support vector machines

Machine Learning ◽

10.1007/s10994-021-06061-z ◽

2021 ◽

Author(s):

M. Tanveer ◽

A. Tiwari ◽

R. Choudhary ◽

M. A. Ganaie

Keyword(s):

Support Vector Machines ◽

Large Scale ◽

Support Vector ◽

Twin Support Vector Machines ◽

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 ◽

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 ◽

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 ◽

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 ◽

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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 ◽

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 Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning

Information Retrieval Technology - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17187-1_33 ◽

2010 ◽

pp. 340-349

Author(s):

Yu-Chieh Wu ◽

Yue-Shi Lee ◽

Jie-Chi Yang ◽

Show-Jane Yen

Keyword(s):

Support Vector Machines ◽

Natural Language ◽

Language Learning ◽

Large Scale ◽

Support Vector ◽

Vector Machines ◽

Natural Language Learning

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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 ◽

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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A Study of Modelling Non-stationary Time Series Using Support Vector Machines with Fuzzy Segmentation Information

Computational Intelligence and Security - Lecture Notes in Computer Science ◽

10.1007/11596448_76 ◽

2005 ◽

pp. 520-527

Author(s):

Shaomin Zhang ◽

Lijia Zhi ◽

Shukuan Lin

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Stationary Time Series ◽

Support Vector ◽

Stationary Time ◽

Vector Machines ◽

Fuzzy Segmentation

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