Group-preserving label-specific feature selection for multi-label learning

Jia Zhang; Hanrui Wu; Min Jiang; Jinghua Liu; Shaozi Li; Yong Tang; Jinyi Long

doi:10.1016/j.eswa.2022.118861

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Group-preserving label-specific feature selection for multi-label learning

Jia Zhang Hanrui Wu Min Jiang Jinghua Liu Shaozi Li Yong Tang Jinyi Long

Year: 2022 Journal: Expert Systems with Applications Vol: 213 Pages: 118861-118861 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.118861

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Keywords:

Interpretability Computer science Artificial intelligence Machine learning Multi-label classification Feature selection Feature (linguistics) Generalization Selection (genetic algorithm) Categorization Class (philosophy) Annotation Pattern recognition (psychology) Data mining Mathematics

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Group-preserving label-specific feature selection for multi-label learning

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