20 search results - page 1 / 4 » Active Learning for Online Spam Filtering |
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...
TREC
2007
13 years 5 months ago
2007
Relaxed Online Support Vector Machines (ROSVMs) have recently been proposed as an efficient methodology for attaining an approximate SVM solution for streaming data such as the on...
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...
CEAS
2005
Springer
13 years 10 months ago
2005
Springer
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...