A robust projection twin support vector machine with a generalized correntropy-based loss

Qiangqiang Ren; Liming Yang

doi:10.1007/s10489-021-02480-6

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A robust projection twin support vector machine with a generalized correntropy-based loss

Qiangqiang Ren Liming Yang

Year: 2021 Journal: Applied Intelligence Vol: 52 (2)Pages: 2154-2170 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-021-02480-6

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Keywords:

Hinge loss Computer science Support vector machine Outlier Robustness (evolution) Projection (relational algebra) Algorithm Kernel (algebra) Noise (video) Binary classification Pattern recognition (psychology) Artificial intelligence Mathematical optimization Mathematics

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Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Advanced Adaptive Filtering Techniques

Physical Sciences → Engineering → Computational Mechanics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

A robust projection twin support vector machine with a generalized correntropy-based loss

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