An Accelerator for Semi-Supervised Classification with Granulation Selection

Semi-supervised classification is one of the core methods to deal with incomplete tag information without manual intervention, which has been widely used in various real problems for its excellent performance. However, the existing algorithms need to store all the unlabeled instances and repeatedly...

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Bibliographic Details
Main Authors: Yunsheng Song, Jing Zhang, Xinyue Zhao, Jie Wang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/10/2239