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Online kernel selection for online multi-label classification

delete2025-08-07
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PRE
AI
T
Tingting Zhai
W
Wei Liu
DOI:10.1016/j.neunet.2025.107958delete
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Abstract

Abstract

En 中文
• An online multi-label kernel classification method integrates kernel selection and classifier learning within a unified online framework. • This method can identify the globally optimal kernel from a potentially large pool of predefined kernels. • Experiments show the superority of this method in terms of overall online performance.
Keywords:
online multi-label classification
kernel selection
classifier learning
unified framework
optimal kernel

Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
8.2K
Citations:
3.0W

Organization

Y
Yangzhou University
Scholars:
2.8W
Papers: 1.9W
Citations: 3.3W
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