843 search results - page 72 / 169 » Learning aspect models with partially labeled data |
134
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PKDD
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
136
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EMNLP
2006
15 years 5 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
176
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LICS
2012
IEEE
13 years 6 months ago
2012
IEEE
—Data trees are trees in which each node, besides carrying a label from a finite alphabet, also carries a data value infinite domain. They have been used as an abstraction mode...
122
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ECCV
2008
Springer
16 years 6 months ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
192
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CIVR
2008
Springer
15 years 5 months ago
2008
Springer
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...