Semi-supervised multi-label feature selection via partial label correlation and feature self-representation

Zhang Yao; Jun Tang; Ziqiang Cao

doi:10.1016/j.knosys.2025.113632

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Semi-supervised multi-label feature selection via partial label correlation and feature self-representation

Zhang Yao Jun Tang Ziqiang Cao

Year: 2025 Journal: Knowledge-Based Systems Vol: 320 Pages: 113632-113632 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2025.113632

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Keywords:

Feature selection Feature (linguistics) Artificial intelligence Pattern recognition (psychology) Correlation Computer science Multi-label classification Representation (politics) Selection (genetic algorithm) Mathematics 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

Algorithms and Data Compression

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised multi-label feature selection via partial label correlation and feature self-representation

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Citation History

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