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DOI: 10.14569/IJARAI.2012.010502

An improvement direction for filter selection techniques using information theory measures and quadratic optimization

Author 1: Waad Bouaguel
Author 2: Ghazi Bel Mufti

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International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 5, 2012.

  • Abstract and Keywords
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Abstract: Filter selection techniques are known for their simplicity and efficiency. However this kind of methods doesn’t take into consideration the features inter-redundancy. Consequently the un-removed redundant features remain in the final classification model, giving lower generalization performance. In this paper we propose to use a mathematical optimization method that reduces inter-features redundancy and maximize relevance between each feature and the target variable.

Keywords: Feature selection; mRMR; Quadratic mutual information ; filter.

Waad Bouaguel and Ghazi Bel Mufti, “An improvement direction for filter selection techniques using information theory measures and quadratic optimization” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(5), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010502

@article{Bouaguel2012,
title = {An improvement direction for filter selection techniques using information theory measures and quadratic optimization},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010502},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010502},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {5},
author = {Waad Bouaguel and Ghazi Bel Mufti}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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