Multi-category Classification Problem Oriented Subsampling-Based Active Learning Method

Traditional active learning methods have achieved gratifying results in the classification tasks of less categories such as binary classification, the application research of active learning in the field of big data problems still faces enormous challenges. Since many active learning query strategie...

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Vydané v:	Journal of physics. Conference series Ročník 1631; číslo 1; s. 12003 - 12011
Hlavní autori:	Shi, Wei, Feng, Yanghe, Cheng, Guangquan, Liu, Shixuan, Liu, Zhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Bristol IOP Publishing 01.09.2020
Predmet:	Active learning Algorithms Classification Clustering Machine learning multi-category classification Physics Random sampling Subsampling-based active learning method Teaching methods traditional active learning algorithm
ISSN:	1742-6588, 1742-6596
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