Efficient extreme learning machine via very sparse random projection-Reference-Cited by-同舟云学术

Efficient extreme learning machine via very sparse random projection

Published:2018-03-19 Issue:11 Volume:22 Page:3563-3574
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chen Chuangquan,Vong Chi-Man^ORCID,Wong Chi-Man,Wang Weiru,Wong Pak-Kin

Funder

Universidade de Macau

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-018-3128-7/fulltext.html

Reference41 articles.

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3. Calderbank R, Jafarpour S, Schapire R (2009) Compressed learning: universal sparse dimensionality reduction and learning in the measurement domain. Technical report, Princeton University. https://pdfs.semanticscholar.org/627c/14fe9097d459b8fd47e8a901694198be9d5d.pdf . Accessed 14 Mar 2017

4. Candes EJ, Tao T (2005) Decoding by linear programming. IEEE Trans Inf Theory 51:4203–4215. https://doi.org/10.1109/Tit.2005.858979

5. Candes EJ, Tao T (2006) Near-optimal signal recovery from random projections: universal encoding strategies. IEEE Trans Inf Theory 52:5406–5425. https://doi.org/10.1109/Tit.2006.885507

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