JOURNAL ARTICLE

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

Jinghua LiuSongwei YangYaojin LinChenxi WangCheng WangJi‐Xiang Du

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

Metrics

4
Cited By
1.02
FWCI (Field Weighted Citation Impact)
47
Refs
0.76
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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

Related Documents

JOURNAL ARTICLE

Label correlations-based multi-label feature selection with label enhancement

Wenbin QianYinsong XiongWeiping DingJintao HuangChi‐Man Vong

Journal:   Engineering Applications of Artificial Intelligence Year: 2023 Vol: 127 Pages: 107310-107310
JOURNAL ARTICLE

Multi-label feature selection with feature reconstruction and label correlations

Ning ZhangAo WangP. K. LuTao FengYing XuGuodong Du

Journal:   Expert Systems with Applications Year: 2025 Vol: 285 Pages: 127993-127993
JOURNAL ARTICLE

Label correlations variation for robust multi-label feature selection

Yonghao LiLiang HuWanfu Gao

Journal:   Information Sciences Year: 2022 Vol: 609 Pages: 1075-1097
© 2026 ScienceGate Book Chapters — All rights reserved.