Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies-Reference-Cited by-同舟云学术

Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies

Published:2020 Issue: Volume: Page:830-842
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
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Author:

Roy Puloma,Sharmin Sadia,Ali Amin Ahsan,Shoyaib Mohammad

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-47426-3_64

Reference20 articles.

1. Battiti, R.: Using mutual information for selecting features in supervised neural net learning. IEEE Trans. Neural Netw 5(4), 537–550 (1994)

2. Brown, G., Pocock, A., Zhao, M.J., Luján, M.: Conditional likelihood maximisation: a unifying framework for information theoretic feature selection. J. Mach. Learn. Res. 13(1), 27–66 (2012)

3. Dua, D., Graff, C.: UCI machine learning repository (2017)

4. Lee, J., Kim, D.W.: Mutual information-based multi-label feature selection using interaction information. Exp. Syst. Appl. 42(4), 2013–2025 (2015)

5. Lewis, D.D.: Feature selection and feature extraction for text categorization. In: Proceedings of the Workshop on Speech and Natural Language, pp. 212–217 (1992)

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