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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Vydané v:	Applied soft computing Ročník 74; s. 709 - 728
Hlavní autori:	Lian, Si-ming, Liu, Jian-wei, Lu, Run-kun, Luo, Xiong-lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2019
Predmet:	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
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