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This article is cited in 3 scientific papers (total in 3 papers)
Probability theory and mathematical statistics
Feature selection based on statistical estimation of mutual information
A. A. Kozhevin Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow, Moscow, 119991, Russia
Abstract:
An algorithm to identify significant factors is proposed in the mixed model framework. It employs statistical estimation of mutual information. Consistency of this procedure is established. Numerical experiments demonstrating its accuracy supplement theoretical results.
Keywords:
feature selection, mixed model, mutual information, conditional Shannon entropy, logistic regression.
Received March 31, 2021, published June 23, 2021
Citation:
A. A. Kozhevin, “Feature selection based on statistical estimation of mutual information”, Sib. Èlektron. Mat. Izv., 18:1 (2021), 720–728
Linking options:
https://www.mathnet.ru/eng/semr1393 https://www.mathnet.ru/eng/semr/v18/i1/p720
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Abstract page: | 186 | Full-text PDF : | 100 | References: | 29 |
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