1484 search results - page 41 / 297 » Semi-supervised Learning from General Unlabeled Data |
124
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
127
Voted
AUSAI
2008
Springer
15 years 3 months ago
2008
Springer
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
104
Voted
ECIR
2007
Springer
15 years 3 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...
119
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COLT
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
133
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DASFAA
2004
IEEE
15 years 5 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...