358 search results - page 16 / 72 » Learning from labeled and unlabeled data on a directed graph |
111
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
106
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WSDM
2009
ACM
15 years 6 months ago
2009
ACM
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
82
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ECIR
2007
Springer
15 years 1 months ago
2007
Springer
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
KDD
2008
ACM
16 years 5 days ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...