Labelling strategies for hierarchical multi-label classification techniques
نویسندگان
چکیده
منابع مشابه
Labelling strategies for hierarchical multi-label classification techniques
Many hierarchical multi-label classification systems predict a real valued score for every (instance, class) couple, with a higher score reflecting more confidence that the instance belongs to that class. These classifiers leave the conversion of these scores to an actual label set to the user, who applies a cut-off value to the scores. The predictive performance of these classifiers is usually...
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Hierarchical multi-label classification is a variant of traditional classification in which the instances can belong to several labels, that are in turn organized in a hierarchy. Existing hierarchical multi-label classification algorithms ignore possible correlations between the labels. Moreover, most of the current methods predict instance labels in a “flat” fashion without employing the ontol...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2016
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2016.02.017