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Author

Song Li

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Conference Aug 2026

Improved tri-training semi-supervised classification algorithm based on adaptive neighborhood entropy

The results show that the improved Tri-training semi-supervised classification algorithm based on adaptive neighborhood entropy, denoted as ANET, effectively suppresses pseudo-label noise and has stronger robustness and practicality in real classification tasks.

Xiangxiang Cai, Song Li, Yulin Zhang · 0 citations

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