178 search results - page 6 / 36 » Learning cost-sensitive active classifiers |
LREC
2008
13 years 8 months ago
2008
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
CEAS
2007
Springer
13 years 11 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Active learning has been proven a reliable strategy to reduce manual efforts in training data labeling. Such strategies incorporate the user as oracle: the classifier selects the m...
ECIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...