A robust multi-label feature selection based on label significance and fuzzy entropy

Taoli Yang; Changzhong Wang; Yiying Chen; Tingquan Deng

doi:10.1016/j.ijar.2024.109310

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A robust multi-label feature selection based on label significance and fuzzy entropy

Taoli Yang Changzhong Wang Yiying Chen Tingquan Deng

Year: 2024 Journal: International Journal of Approximate Reasoning Vol: 176 Pages: 109310-109310 Publisher: Elsevier BV

DOI: 10.1016/j.ijar.2024.109310

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Keywords:

Feature selection Artificial intelligence Pattern recognition (psychology) Computer science Fuzzy logic Entropy (arrow of time) Mathematics Machine learning Physics

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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

A robust multi-label feature selection based on label significance and fuzzy entropy

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