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Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions (2003)
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by
Xiaojin Zhu
,
Zoubin Ghahramani
,
John Lafferty
| Venue: | IN ICML |
| Citations: | 751 - 14 self |
BibTeX
@INPROCEEDINGS{Zhu03semi-supervisedlearning,
author = {Xiaojin Zhu and Zoubin Ghahramani and John Lafferty},
title = {Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions},
booktitle = {IN ICML},
year = {2003},
pages = {912--919},
publisher = {}
}
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Abstract
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, with edge weights encoding the similarity between instances. The learning
