A parsimonious SVM model selection criterion for classification of real-world data sets via an adaptive population-based algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-017-2930-y/fulltext.html
Reference41 articles.
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5. Chapelle O, Vapnik VN, Bousquet O, Mukherjee S (2002) Choosing multiple parameters for support vector machines. Mach Learn 461:131–159
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