171 search results - page 2 / 35 » Spam Filtering with Naive Bayes - Which Naive Bayes |
UAI
2003
13 years 7 months ago
2003
Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by thes...
CEAS
2005
Springer
13 years 11 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 ...
ECML
2007
Springer
13 years 9 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
PKDD
2004
Springer
13 years 11 months ago
2004
Springer
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...
ECML
2004
Springer
13 years 9 months ago
2004
Springer
It is well-known that naive Bayes performs surprisingly well in classification, but its probability estimation is poor. In many applications, however, a ranking based on class prob...