121 search results - page 7 / 25 » To aggregate or not to aggregate high-dimensional classifier... |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
RSFDGRC
2007
Springer
14 years 4 months ago
2007
Springer
Constructing accurate classifier based on association rule is an important and challenging task in data mining. In this paper, a novel combination strategy based on rough sets (RST...
ECML
2007
Springer
14 years 2 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...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
IIS
2003
14 years 4 days ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...