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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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 1631; no. 1; pp. 12003 - 12011
Main Authors:	Shi, Wei, Feng, Yanghe, Cheng, Guangquan, Liu, Shixuan, Liu, Zhong
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.09.2020
Subjects:	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 Access:	Get full text
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