Multiview semi-supervised learning with consensus

Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications. Semi-supervised learning aims to improve the performance of a classifier trained with limited number of labeled data by utilizing the unlabeled ones. This paper demonstrates a way to...

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Bibliographic Details
Main Authors: Li, Guangxia, Chang, Kuiyu, Hoi, Steven C. H.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/99262
http://hdl.handle.net/10220/13512
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Institution: Nanyang Technological University
Language: English

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