220 search results - page 18 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
FLAIRS
2006
15 years 1 months ago
2006
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...
113
Voted
ICML
2004
IEEE
16 years 14 days ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
105
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We investigate the problem of automatically labelling
faces of characters in TV or movie material with their
names, using only weak supervision from automaticallyaligned
subtitl...
87
Voted
ASUNAM
2010
IEEE
15 years 1 months ago
2010
IEEE
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
CIKM
2000
Springer
15 years 4 months ago
2000
Springer
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...