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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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Hlavní autor: WU Hong-xin, HAN Meng, CHEN Zhi-qiang, ZHANG Xi-long, LI Mu-hang
Médium: Artigo
Jazyk:Chinês
Vydáno: Editorial office of Computer Science 2022-08-01
Edice:Jisuanji kexue
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On-line přístup:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-8-12.pdf
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