Captured multi-label relations via joint deep supervised autoencoder

The mapping relations learning between instances and multiple labels should reflect the underlying joint probability distribution following by the data sets. The general solution of such problem is to assume that the samples are subject to a certain distribution, i.e. normal distribution, but this h...

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Bibliographic Details

Published in:	Applied soft computing Vol. 74; pp. 709 - 728
Main Authors:	Lian, Si-ming, Liu, Jian-wei, Lu, Run-kun, Luo, Xiong-lin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2019
Subjects:	Deep supervised autoencoder Joint multi-label conditional posterior probability Multi-label relations Deep supervised autoencoder Multi-label relations Joint multi-label conditional posterior probability
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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