Robust L-norm least squares support vector regression with feature selection

Ya-Fen Ye; Yuan‐Hai Shao; Nai-Yang Deng; Chun‐Na Li; Xiangyu Hua

doi:10.1016/j.amc.2017.01.062

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Robust L-norm least squares support vector regression with feature selection

Ya-Fen Ye Yuan‐Hai Shao Nai-Yang Deng Chun‐Na Li Xiangyu Hua

Year: 2017 Journal: Applied Mathematics and Computation Vol: 305 Pages: 32-52 Publisher: Elsevier BV

DOI: 10.1016/j.amc.2017.01.062

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Keywords:

Support vector machine Mathematics Norm (philosophy) Outlier Least squares support vector machine Least-squares function approximation Feature selection Regression Mathematical optimization Computer science Artificial intelligence Statistics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

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Robust L-norm least squares support vector regression with feature selection

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