Fast unsupervised feature selection based on the improved binary ant system and mutation strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-03991-z.pdf
Reference62 articles.
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4. Peng H, Long F, Ding C (2005) Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226–1238
5. Yang J-B, Ong C-J (2011) Feature selection using probabilistic prediction of support vector regression. IEEE Trans Neural Netw 22(6):954–962
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