Augmented Lagrangian – fast projected gradient algorithm with working set selection for training support vector machines

Journal of Applied and Numerical Optimization ◽

10.23952/jano.3.2021.1.02 ◽

2021 ◽

Vol 3 (1) ◽

Keyword(s):

Support Vector Machines ◽

Augmented Lagrangian ◽

Gradient Algorithm ◽

Support Vector ◽

Projected Gradient ◽

Training Support ◽

Vector Machines ◽

Selection For ◽

Working Set Selection ◽

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Candidate Vectors Selection for Training Support Vector Machines

Third International Conference on Natural Computation (ICNC 2007) ◽

10.1109/icnc.2007.292 ◽

2007 ◽

Author(s):

Minqiang Li ◽

Fuzan Chen ◽

Jisong Kou

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Training Support ◽

Vector Machines ◽

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A fast projected conjugate gradient algorithm for training support vector machines

Fast Algorithms for Structured Matrices: Theory and Applications - Contemporary Mathematics ◽

10.1090/conm/323/05708 ◽

2003 ◽

pp. 245-263 ◽

Author(s):

Tong Wen ◽

Alan Edelman ◽

David Gorsich

Keyword(s):

Support Vector Machines ◽

Conjugate Gradient ◽

Conjugate Gradient Algorithm ◽

Gradient Algorithm ◽

Support Vector ◽

Training Support ◽

Vector Machines

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On the working set selection in gradient projection-based decomposition techniques for support vector machines

Optimization Methods and Software ◽

10.1080/10556780500140714 ◽

2005 ◽

Vol 20 (4-5) ◽

pp. 583-596 ◽

Author(s):

Thomas Serafini ◽

Luca Zanni

Keyword(s):

Support Vector Machines ◽

Gradient Projection ◽

Support Vector ◽

Decomposition Techniques ◽

Vector Machines ◽

Working Set Selection ◽

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A compact neural network for training support vector machines

Neurocomputing ◽

10.1016/j.neucom.2012.01.004 ◽

2012 ◽

Vol 86 ◽

pp. 193-198 ◽

Author(s):

Yun Yang ◽

Qiaochu He ◽

Xiaolin Hu

Keyword(s):

Neural Network ◽

Support Vector Machines ◽

Support Vector ◽

Training Support ◽

Vector Machines

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Training support vector machines: an application to face detection

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1997.609310 ◽

2002 ◽

Cited By ~ 1162

Author(s):

E. Osuna ◽

R. Freund ◽

F. Girosit

Keyword(s):

Support Vector Machines ◽

Face Detection ◽

Support Vector ◽

Training Support ◽

Vector Machines

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Comparison of parallel and cascade methods for training support vector machines on larege-scale problems

Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) ◽

10.1109/icmlc.2004.1378557 ◽

2005 ◽

Author(s):

Bao-liang Lu ◽

Kai-an Wang ◽

Yi-min Wen

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Training Support ◽

Vector Machines

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Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory

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

10.1109/ijcnn.2010.5596450 ◽

2010 ◽

Author(s):

Davide Anguita ◽

Alessandro Ghio ◽

Noemi Greco ◽

Luca Oneto ◽

Sandro Ridella

Keyword(s):

Machine Learning ◽

Support Vector Machines ◽

Model Selection ◽

Learning Theory ◽

Support Vector ◽

Advantages And Disadvantages ◽

Vector Machines ◽

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Feature subset selection for support vector machines by incremental regularized risk minimization

2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541) ◽

10.1109/ijcnn.2004.1380930 ◽

2005 ◽

Author(s):

H. Frohlich ◽

A. Zell

Keyword(s):

Support Vector Machines ◽

Subset Selection ◽

Feature Subset Selection ◽

Support Vector ◽

Feature Subset ◽

Risk Minimization ◽

Vector Machines ◽

Selection For ◽

Regularized Risk Minimization

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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 Hierarchical and Parallel Method for Training Support Vector Machines

Advances in Neural Networks — ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427391_141 ◽

2005 ◽

pp. 881-886 ◽

Author(s):

Yimin Wen ◽

Baoliang Lu

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Parallel Method ◽

Training Support ◽

Vector Machines

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