OMAL: A Multi-Label Active Learning Approach from Data Streams

With the rapid growth of digital computing, communication, and storage devices applied in various real-world scenarios, more and more data have been collected and stored to drive the development of machine learning techniques. It is also noted that the data that emerge in real-world applications ten...

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Bibliographic Details
Main Authors:	Qiao Fang, Chen Xiang, Jicong Duan, Benallal Soufiyan, Changbin Shao, Xibei Yang, Sen Xu, Hualong Yu
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Entropy
Subjects:	active learning multi-label data stream query strategy classifier chains weighted extreme learning machine label correlations
Online Access:	https://www.mdpi.com/1099-4300/27/4/363
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OMAL: A Multi-Label Active Learning Approach from Data Streams

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