59 search results - page 7 / 12 » Learning Tree Augmented Naive Bayes for Ranking |
ECML
2004
Springer
14 years 22 days ago
2004
Springer
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
JMLR
2008
13 years 7 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
KAIS
2008
13 years 7 months ago
2008
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, Page...
FSKD
2007
Springer
14 years 1 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...