Information Theoretic-based Feature Selection (IFS) for Machine Learning-Reference-Cited by-同舟云学术

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Information Theoretic-based Feature Selection (IFS) for Machine Learning

Published:2021-07-15 Issue: Volume: Page:
ISSN:
Container-title:2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS)
language:
Short-container-title:

Author:

Suleiman Muhammad A.¹^ORCID,Labadin Jane²

Affiliation:

1. Nile University of Nigeria,Faculty of Natural and Applied Sciences,Dept. of Software Engineering and Information Technology,Abuja,Nigeria

2. University Malaysia Sarawak,Faculty of Computer Science and Information Technology,Kota Samarahan,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9692074/9692302/09692311.pdf?arnumber=9692311

Reference33 articles.

1. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

2. Estimating mutual information;kraskov;Phys Rev E,2004

3. Advances in Feature Selection with Mutual Information

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