36 search results - page 1 / 8 » Augmenting naive Bayes for ranking |
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
DASFAA
2005
IEEE
14 years 4 months ago
2005
IEEE
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
ADMA
2005
Springer
14 years 4 months ago
2005
Springer
In real-world data mining applications, an accurate ranking is same important to a accurate classification. Naive Bayes (simply NB) has been widely used in data mining as a simple...
ECML
2004
Springer
14 years 2 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...
DIS
2004
Springer
14 years 2 months ago
2004
Springer
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....