Sparse L0-norm least squares support vector machine with feature selection

Qingqing Tang; Guoquan Li

doi:10.1016/j.ins.2024.120591

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Sparse L0-norm least squares support vector machine with feature selection

Qingqing Tang Guoquan Li

Year: 2024 Journal: Information Sciences Vol: 670 Pages: 120591-120591 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2024.120591

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Keywords:

Feature selection Least squares support vector machine Norm (philosophy) Hyperplane Support vector machine Computer science Mathematical optimization Regular polygon Mathematics Regularization (linguistics) Artificial intelligence Algorithm Pattern recognition (psychology)

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Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Sparse L0-norm least squares support vector machine with feature selection

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