28 search results - page 2 / 6 » Learning k-Nearest Neighbor Naive Bayes for Ranking |
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...
DASFAA
2005
IEEE
13 years 11 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
13 years 11 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...
MLDM
2009
Springer
13 years 12 months ago
2009
Springer
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
SIGIR
1999
ACM
13 years 9 months ago
1999
ACM
This paper reports a controlled study with statistical signi cance tests on ve text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classi er...