Determining appropriate approaches for using data in feature selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s13042-015-0469-8.pdf
Reference30 articles.
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3. Ambroise C (2002) Selection bias in gene extraction on the basis of microarray gene-expression data. Proc Natl Acad Sci 99:6562–6566. doi: 10.1073/pnas.102102699
4. Belanche L, González F (2011) Review and evaluation of feature selection algorithms in synthetic problems. arXiv:11012320
5. Bolón-Canedo V, Sánchez-Maroño N, Alonso-Betanzos A (2013) A review of feature selection methods on synthetic data. Knowl Inf Syst 34:483–519
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