Reduction methods for multi-label classification
Multi-label classification is an important machine learning task wherein one predicts a set of labels to associate with a given object. For example, an article can belong to multiple categories; an image can be associated with several tags; in medical billing, a patient report is annotated with mult...
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| Online Access: | http://hdl.handle.net/2047/D20328153 |