Combining One-Class Classifiers via Meta-Learning

22 Dec 2011Eitan MenahemLior RokachYuval Elovici

Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In this work we examine the notion of combining one-class classifiers as an alternative for selecting the best classifier... (read more)

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