Multi-label feature selection via joint label enhancement and pairwise label correlations

Jinghua Liu; Songwei Yang; Yaojin Lin; Chenxi Wang; Cheng Wang; Ji‐Xiang Du

doi:10.1007/s13042-023-01874-x

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Multi-label feature selection via joint label enhancement and pairwise label correlations

Jinghua Liu Songwei Yang Yaojin Lin Chenxi Wang Cheng Wang Ji‐Xiang Du

Year: 2023 Journal: International Journal of Machine Learning and Cybernetics Vol: 14 (11)Pages: 3943-3964 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-023-01874-x

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Keywords:

Pairwise comparison Feature selection Computer science Artificial intelligence Minimum redundancy feature selection Pattern recognition (psychology) Feature (linguistics) Redundancy (engineering) Relevance (law) Machine learning Data mining Mutual information

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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

Machine Learning in Bioinformatics

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

Multi-label feature selection via joint label enhancement and pairwise label correlations

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