Feature Selection in Machine Learning for Knocking Noise detection
Author:
Affiliation:
1. Federal University of Santa Catarina,Software/Hardware Integration Lab (LISHA),Brazil
Funder
Fundação de Desenvolvimento da Pesquisa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9964475/9964519/09964726.pdf?arnumber=9964726
Reference24 articles.
1. Feature grouping and selection on high-dimensional microarray data;garcía-torres;2015 DMIA,2015
2. Recursive feature elimination with random forest for PTR-MS analysis of agroindustrial products
3. Improving the classification accuracy using recursive feature elimination with cross-validation;misra;Int J Emerging Technol,2020
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