843 search results - page 44 / 169 » Learning aspect models with partially labeled data |
118
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NIPS
2007
15 years 5 months ago
2007
A semi-supervised multitask learning (MTL) framework is presented, in which M parameterized semi-supervised classifiers, each associated with one of M partially labeled data mani...
148
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
128
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CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
176
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
109
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IJCAI
2001
15 years 5 months ago
2001
Models of computer users that are learned on the basis of data can make use of two types of information: data about users in general and data about the current individual user. Fo...