DiSMEC - Distributed Sparse Machines for Extreme Multi-label Classification

8 Sep 2016Rohit BabbarBernhard Shoelkopf

Extreme multi-label classification refers to supervised multi-label learning involving hundreds of thousands or even millions of labels. Datasets in extreme classification exhibit fit to power-law distribution, i.e. a large fraction of labels have very few positive instances in the data distribution... (read more)

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