9 search results - page 2 / 2 » Non-Disjoint Discretization for Naive-Bayes Classifiers |
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
FINTAL
2006
13 years 9 months ago
2006
Naive Bayes classifier is a frequently used method in various natural language processing tasks. Inspired by a modified version of the method called the flexible Bayes classifier, ...
IDEAL
2000
Springer
13 years 8 months ago
2000
Springer
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...