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Construction of a classifier using AdaBoost for information filtering

✍ Scribed by Hidekazu Yanagimoto; Sigeru Omatu

Publisher
Springer Japan
Year
2005
Tongue
English
Weight
281 KB
Volume
9
Category
Article
ISSN
1433-5298

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We focus on a hybrid approach of feature selection. We begin our analysis with a ΓΏlter model, exploiting the geometrical information contained in the minimum spanning tree (MST) built on the learning set. This model exploits a statistical test of relative certainty gain, used in a forward selection