A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application

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...

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Bibliographic Details
Main Authors: Yongxiang Lei, Lihui Cen, Xiaofang Chen, Yongfang Xie
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Extreme learning machine (ELM)
semi-supervised learning
manifold regularization
Hessian regularization
SD classification
Online Access:https://ieeexplore.ieee.org/document/8643914/

Internet

https://ieeexplore.ieee.org/document/8643914/

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