A GRASP algorithm for fast hybrid (filter-wrapper) feature subset selection in high-dimensional datasets

Author:

Bermejo Pablo,Gámez Jose A.,Puerta Jose M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Instance-based learning algorithms;Aha;Machine Learn.,1991

2. Bermejo, P., Gámez, J., Puerta, J., 2008. On incremental wrapper-based attribute selection: experimental analysis of the relevance criteria. In: IPMU’08: Proc. 12th Internat. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems.

3. Bermejo, P., Gámez, J.A., Puerta, J.M., 2009. Incremental wrapper-based subset selection with replacement: An advantageous alternative to sequential forward selection. In: Proc. IEEE Symposium Series on Computational Intelligence and Data Mining (SSCI CIDM-2009), pp. 367–374.

4. Neural Networks for Pattern Recognition;Bishop,1995

5. Blanco, R., Larranaga, P., Inza, I., Sierra, B., 2001. Selection of highly accurate genes for cancer classification by estimation of distribution algorithms. In: Proc. Workshop of Bayesian Models in Medicine (at AIME-01), pp. 29–34.

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