Prototype Regularized Manifold Regularization Technique for Semi-Supervised Online Extreme Learning Machine

Prototype Regularized Manifold Regularization Technique for Semi-Supervised Online Extreme Learning Machine

Data streaming applications such as the Internet of Things (IoT) require processing or predicting from sequential data from various sensors. However, most of the data are unlabeled, making applying fully supervised learning algorithms impossible. The online manifold regularization approach allows se...

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Bibliographic Details
Main Authors: Muhammad Zafran Muhammad Zaly Shah, Anazida Zainal, Fuad A. Ghaleb, Abdulrahman Al-Qarafi, Faisal Saeed
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
machine learning
semi-supervised learning
manifold regularization
sequential learning
Internet of Things
Online Access:https://www.mdpi.com/1424-8220/22/9/3113

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https://www.mdpi.com/1424-8220/22/9/3113

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