Text Classification and Co-training from Positive and Unlabeled Examples (2003)
by
Francois Denis
,
Anne Laurent
,
Rémi Gilleron
,
Marc Tommasi
| Venue: | Proceedings of the ICML 2003 Workshop: The Continuum from Labeled to Unlabeled Data |
| Citations: | 7 - 1 self |
BibTeX
@INPROCEEDINGS{Denis03textclassification,
author = {Francois Denis and Anne Laurent and Rémi Gilleron and Marc Tommasi},
title = {Text Classification and Co-training from Positive and Unlabeled Examples},
booktitle = {Proceedings of the ICML 2003 Workshop: The Continuum from Labeled to Unlabeled Data},
year = {2003},
pages = {80--87}
}
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Abstract
In the general framework of semi-supervised learning from labeled and unlabeled data, we consider the specific problem of learning from a pool of positive data, without any negative data but with the help of unlabeled data.
Citations
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| 632 | Text classification from labeled and unlabeled documents using - Nigram, McCallum, et al. |
| 509 | Transductive inference for text classification using support vector machines - Joachims - 1999 |
| 359 | Unsupervised models for named entity classification - Collins, Singer - 1999 |
| 77 | Partially supervised classification of text documents - Liu, Lee, et al. - 2002 |
| 31 | learning from positive statistical queries - PAC - 1998 |
| 24 | F.: Learning from positive and unlabeled examples - Denis, Gilleron, et al. - 2005 |
| 24 | Text classification from positive and unlabeled examples. The - Denis, Gilleron, et al. - 2002 |
| 8 | Text categorization with labeled and unlabeled data: A generative model approach - Hofmann - 1999 |
| 6 | Analyzing the applicability and effectiveness of co-training - Nigam, Ghani - 2000 |
| 1 | Semi-supervised learning with explicit misclassification modeling - M-R, P - 2003 |
