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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Veröffentlicht in:	Applied soft computing Jg. 74; S. 709 - 728
Hauptverfasser:	Lian, Si-ming, Liu, Jian-wei, Lu, Run-kun, Luo, Xiong-lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2019
Schlagworte:	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-Zugang:	Volltext
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