125 search results - page 10 / 25 » Combining labeled and unlabeled data with word-class distrib... |
94
Voted
ACL
2008
14 years 11 months ago
2008
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
100
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ACL
2008
14 years 11 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
15 years 10 months ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
105
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PAMI
2012
13 years 2 days ago
2012
—Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has ...