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

AuthID
P-00G-1KC

Author(s)

Amaral, T

de Sa, JM

Editor(s)

Chen,XW;Qu,G;Angelov,P;Ferri,C;Lai,JH;Wani,MA

Document Type

Proceedings Paper

Year published

2014

Published

in 2014 13TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA)

Pages: 367-372 (6)

Conference

13Th International Conference on Machine Learning and Applications (Icmla), Date: DEC 03-06, 2014, Location: Detroit, MI, Sponsors: IEEE Comp Soc, AML&A, IEEE, Wayne State Univ

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Publication Identifiers

DOI: 10.1109/icmla.2014.65

SCOPUS: 2-s2.0-84924940241

Wos: WOS:000380459000060

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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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