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Online kernel selection for online multi-label classification
DOI:10.1016/j.neunet.2025.107958.png)
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
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