Using Ontologies To Improve Performance In Massively Multi-label Prediction

ICLR 2019 Ethan SteinbergPeter J. Liu

Massively multi-label prediction/classification problems arise in environments like health-care or biology where it is useful to make very precise predictions. One challenge with massively multi-label problems is that there is often a long-tailed frequency distribution for the labels, resulting in few positive examples for the rare labels... (read more)

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