Relief-based feature selection: Introduction and review

Author:

Urbanowicz Ryan J.,Meeker Melissa,La Cava William,Olson Randal S.,Moore Jason H.

Funder

National Institutes of Health

Warren Center for Network and Data Science

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference125 articles.

1. A weighted feature selection method for instance-based classification;Agre,2016

2. Instance-based learning algorithms;Aha;Mach. Learn.,1991

3. H. Almuallim, T.G. Dietterich, Learning with many irrelevant features, in: AAAI, vol. 91, 1991, pp. 547–552.

4. A. Arauzo-Azofra, J.M. Benitez, J.L. Castro, A feature set measure based on relief, in: Proceedings of the Fifth International Conference on Recent Advances in Soft Computing, 2004, pp. 104–109.

5. L.A. Belanche, F.F. González, Review and evaluation of feature selection algorithms in synthetic problems, 2011. Available from: arXiv preprint .

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