Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6896704 | European Journal of Operational Research | 2015 | 27 Pages |
Abstract
We propose an exact method, based on Generalized Benders Decomposition, to select the best M features during induction. We provide details of the method and highlight some interesting parallels between the technique proposed here and some of those published in the literature. We also propose a relaxation of the problem where selecting too many features is penalized. The original method performs well on a variety of data sets. The relaxation, though competitive, is sensitive to the penalty parameter.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Haldun Aytug,