A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application
Semi-supervised extreme learning machine (SS-ELM) has been applied to many classification and regression assignments with high performance, in which both the labeled and unlabeled data are exploited to enhance accuracy and computation efficiency. The Laplacian manifold regularization method has been...
Main Authors: | Yongxiang Lei, Lihui Cen, Xiaofang Chen, Yongfang Xie |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8643914/ |
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