Efficient approximate top-k mutual information based feature selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10844-022-00750-4.pdf
Reference26 articles.
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3. Chandrashekar, G., & Sahin, F. (2014). A survey on feature selection methods. Computers & Electrical Engineering, 40(1), 16–28. https://doi.org/10.1016/j.compeleceng.2013.11.024.
4. Chen, X., & Wang, S. (2021). Efficient approximate algorithms for empirical entropy and mutual information. In Proceedings of the 2021 International Conference on Management of Data, pp 274–286. https://doi.org/10.1145/3448016.3457255.
5. Cover, T.M., & Thomas, J.A. (1991). Elements of information theory. USA: Wiley. https://doi.org/10.1002/0471200611.
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