4 search results - page 1 / 1 » Online Active Learning Methods for Fast Label-Efficient Spam... |
CEAS
2007
Springer
13 years 8 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...
AIRS
2008
Springer
13 years 11 months ago
2008
Springer
Spam filtering is defined as a task trying to label emails with spam or ham in an online situation. The online feature requires the spam filter has a strong timely generalization a...
JMLR
2006
13 years 4 months ago
2006
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...