Multi-label feature selection with high-sparse personalized and low-redundancy shared common features

Yonghao Li; Liang Hu; Wanfu Gao

doi:10.1016/j.ipm.2023.103633

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Multi-label feature selection with high-sparse personalized and low-redundancy shared common features

Yonghao Li Liang Hu Wanfu Gao

Year: 2024 Journal: Information Processing & Management Vol: 61 (3)Pages: 103633-103633 Publisher: Elsevier BV

DOI: 10.1016/j.ipm.2023.103633

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Keywords:

Redundancy (engineering) Feature selection Computer science Pattern recognition (psychology) Artificial intelligence Minimum redundancy feature selection Elastic net regularization Machine learning

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-label feature selection with high-sparse personalized and low-redundancy shared common features

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