Semi-supervised learning through machine based labelling

Han Liu*, Mihaela Cocea

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this chapter, we describe the concepts of semi-supervised learning and show the motivation of developing semi-supervised learning approaches in the context of big data. We also review existing approaches of semi-supervised learning and then focus the strategy of semi-supervised learning on machine based labelling. Furthermore, we present two proposed frameworks of semi-supervised learning in the setting of granular computing, and discuss the advantages of the frameworks.

Original languageEnglish
Title of host publicationSemi-supervised Learning Through Machine Based Labelling. In: Granular Computing Based Machine Learning
PublisherSpringer
Pages23-28
Number of pages6
ISBN (Electronic)9783319700588
ISBN (Print)9783319700571
DOIs
Publication statusPublished - 5 Nov 2017

Publication series

NameStudies in Big Data
PublisherSpringer
Volume35
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

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