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ICML
2010
IEEE

Graded Multilabel Classification: The Ordinal Case

13 years 4 months ago
Graded Multilabel Classification: The Ordinal Case
We propose a generalization of multilabel classification that we refer to as graded multilabel classification. The key idea is that, instead of requesting a yes-no answer to the question of class membership or, say, relevance of a class label for an instance, we allow for a graded membership of an instance, measured on an ordinal scale of membership degrees. This extension is motivated by practical applications in which a graded or partial class membership is natural. Apart from introducing the basic setting, we propose two general strategies for reducing graded multilabel problems to conventional (multilabel) classification problems. Moreover, we address the question of how to extend performance metrics commonly used in multilabel classification to the graded setting, and present first experimental results.
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where ICML
Authors Weiwei Cheng, Krzysztof Dembczynski, Eyke Hüllermeier
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