121 search results - page 7 / 25 » To aggregate or not to aggregate high-dimensional classifier... |
162
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ICPR
2008
IEEE
16 years 3 days 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...
188
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RSFDGRC
2007
Springer
15 years 11 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...
146
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ECML
2007
Springer
15 years 9 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...
148
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ICPR
2010
IEEE
15 years 3 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...
171
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IIS
2003
15 years 7 months 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...