Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss

Xiaohan Zheng; Li Zhang; Leilei Yan

doi:10.1007/978-3-030-55130-8_38

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Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss

Xiaohan Zheng Li Zhang Leilei Yan

Year: 2020 Lecture notes in computer science Pages: 434-445 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-55130-8_38

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Keywords:

Hinge loss Outlier Computer science Feature selection Robustness (evolution) Support vector machine Pattern recognition (psychology) Artificial intelligence Regularization (linguistics) Norm (philosophy) Feature vector Algorithm

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Feature Selection Using Sparse Twin Support Vector Machine with Correntropy-Induced Loss

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