Semi-Supervised Learning Literature Survey

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Semi-Supervised Learning Literature Survey (2006)

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by Xiaojin Zhu

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782 - 8 self

BibTeX

@MISC{Zhu06semi-supervisedlearning,
    author = {Xiaojin Zhu},
    title = {Semi-Supervised Learning Literature Survey},
    year = {2006}
}

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Abstract

We review the literature on semi-supervised learning, which is an area in machine learning and more generally, artificial intelligence. There has been a whole spectrum of interesting ideas on how to learn from both labeled and unlabeled data, i.e. semi-supervised learning. This document is a chapter excerpt from the author’s doctoral thesis (Zhu, 2005). However the author plans to update the online version frequently to incorporate the latest development in the field. Please obtain the latest version at http://www.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf

Keyphrases

semi-supervised learning literature survey semi-supervised learning unlabeled data author doctoral thesis chapter excerpt machine learning jerryzhu pub ssl_survey author plan online version whole spectrum artificial intelligence

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