1601 search results - page 52 / 321 » Closed Sets for Labeled Data |
DASFAA
2004
IEEE
14 years 2 months ago
2004
IEEE
The information on the World Wide Web is growing without bound. Users may have very diversified preferences in the pages they target through a search engine. It is therefore a chal...
COLT
2008
Springer
14 years 17 days ago
2008
Springer
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
IJCAI
2007
14 years 7 days ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
KDD
2009
ACM
14 years 11 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...