Survey of Multi-label Classification Based on Supervised and Semi-supervised Learning
Most of the traditional multi-label classification algorithms use supervised learning,but in real life,there are many unlabeled data.Manual tagging of all required data is costly.Semi-supervised learning algorithms can work with a large amount of unlabeled data and labeled data,so they have received...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2022-08-01
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| Series: | Jisuanji kexue |
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| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-12.pdf |