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Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders

AuthID
P-00G-WNE

Author(s)

Amaral, T

Sa, JMD

Editor(s)

Ferri,C;Qu,G;Chen,X;Wani,MA;Angelov,P;Lai,J; H

Document Type

Proceedings Paper

Year published

2014

Published

in Proceedings - 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014

Pages: 367-372

Conference

2014 13Th International Conference on Machine Learning and Applications, Icmla 2014, Date: 3 December 2014 through 6 December 2014, Sponsors: Association for Machine Learning and Applications;IEEE

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Sources

Publication Identifiers

DOI: 10.1109/icmla.2014.65

Scopus: 2-s2.0-84946691639

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Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders

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Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders

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