46 search results - page 1 / 10 » Locally Weighted Naive Bayes |
UAI
2003
13 years 9 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...
ADMA
2005
Springer
14 years 1 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
ECML
2007
Springer
13 years 11 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...
KBS
2007
13 years 7 months ago
2007
AI
2005
Springer
14 years 1 months ago
2005
Springer
The instance-based k-nearest neighbor algorithm (KNN)[1] is an effective classification model. Its classification is simply based on a vote within the neighborhood, consisting o...