Fuzzy quadratic surface support vector machine based on fisher discriminant analysis-Reference-Cited by-同舟云学术

Fuzzy quadratic surface support vector machine based on fisher discriminant analysis

Published:2015-04 Issue:1 Volume:12 Page:357-373
ISSN:1547-5816
Container-title:Journal of Industrial and Management Optimization
language:en
Short-container-title:JIMO

Author:

Luo Jian,Fang Shu-Cherng,Bai Yanqin,Deng Zhibin

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Control and Optimization,Strategy and Management,Business and International Management

Reference22 articles.

1. A continuous approach for the concave cost supply problem via DC programming and DCA,;L. T. H. An;Discrete Applied Mathematics,2008

2. Fuzzy support vector machine based on within-class scatter for classification problems with outliers or noises,;W. An;Neurocomputing,2013

3. UCI Machine Learning Repository, Irvine, CA: University of California, School of Information and Computer Science,;K. Bache;2013. Available from:

4. Soft clustering using weighted one-class support vector machines,;M. Bicego;Pattern Recognition,2009

5. Support vector machines with the ramp loss and the hard margin loss,;J. P. Brooks;Operations Research,2011

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