1601 search results - page 69 / 321 » Closed Sets for Labeled Data |
DRR
2009
14 years 9 months ago
2009
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
119
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ICANN
2009
Springer
14 years 9 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
NAACL
2010
14 years 9 months ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
SIGMOD
2010
ACM
15 years 4 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
107
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IDA
2006
Springer
14 years 12 months ago
2006
Springer
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...