Deep Learning with a Rethinking Structure for Multi-label Classification

5 Feb 2018 Yao-Yuan Yang Yi-An Lin Hong-Min Chu Hsuan-Tien Lin

Multi-label classification (MLC) is an important class of machine learning problems that come with a wide spectrum of applications, each demanding a possibly different evaluation criterion. When solving the MLC problems, we generally expect the learning algorithm to take the hidden correlation of the labels into account to improve the prediction performance... (read more)

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