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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Veröffentlicht in:	Journal of physics. Conference series Jg. 1631; H. 1; S. 12003 - 12011
Hauptverfasser:	Shi, Wei, Feng, Yanghe, Cheng, Guangquan, Liu, Shixuan, Liu, Zhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Bristol IOP Publishing 01.09.2020
Schlagworte:	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
Online-Zugang:	Volltext
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