125 search results - page 3 / 25 » Combining labeled and unlabeled data with word-class distrib... |
IJCAI
2003
14 years 11 months ago
2003
In traditional text classification, a classifier is built using labeled training documents of every class. This paper studies a different problem. Given a set P of documents of a ...
114
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SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
111
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JMLR
2006
14 years 9 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...