Dynamic ensemble extreme learning machine based on sample entropy-Reference-Cited by-同舟云学术

Dynamic ensemble extreme learning machine based on sample entropy

Published:2012-02-07 Issue:9 Volume:16 Page:1493-1502
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zhai Jun-hai,Xu Hong-yu,Wang Xi-zhao

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-012-0824-6.pdf

Reference37 articles.

1. Biggio B, Fumera G, Roli F (2010) Multiple classifier systems for robust classifier design in adversarial environments. Int J Mach Learn Cybern 1(1–4):27–41

2. Breiman L (1996) Bagging predictors. Mach Learn 6(2):123–140

3. Brown G, Wyatt J, Harris R, Yao X (2005) Diversity creation methods: a survey and categorisation. Inf Fusion 6(1):5–20

4. Chacko BP, Vimal Krishnan VR, Raju G et al (2011) Handwritten character recognition using wavelet energy and extreme learning machine. Int J Mach Learn Cybern. doi: 10.1007/s13042-011-0049-5

5. Demsar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7(1):1–30

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