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SGAI
2009
Springer

Leveraging Sub-class Partition Information in Binary Classification and Its Application

14 years 5 months ago
Leveraging Sub-class Partition Information in Binary Classification and Its Application
Sub-class partition information within positive and negative classes is often ignored by a binary classifier, even when these detailed background information is available at hand. It is expected that this kind of additional information can help to improve the differentiating capacity of a binary classifier. In this paper, a binary classification strategy via multi-class categorization is proposed to leverage sub-class partition information when they are available. Empirical studies on the 20 newsgroups dataset demonstrate the benefits of this strategy. Furthermore, a preliminary application of this binary classification strategy for multi-label classification problem is given with promising results.
Baoli Li, Carl Vogel
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where SGAI
Authors Baoli Li, Carl Vogel
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