Cargando…
Weighted Mean Squared Deviation Feature Screening for Binary Features
In this study, we propose a novel model-free feature screening method for ultrahigh dimensional binary features of binary classification, called weighted mean squared deviation (WMSD). Compared to Chi-square statistic and mutual information, WMSD provides more opportunities to the binary features wi...
Autores principales: | Wang, Gaizhen, Guan, Guoyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516793/ https://www.ncbi.nlm.nih.gov/pubmed/33286109 http://dx.doi.org/10.3390/e22030335 |
Ejemplares similares
-
Analysis of Protein
Folding Simulation with Moving
Root Mean Square Deviation
por: Maruyama, Yutaka, et al.
Publicado: (2023) -
Using weighted power mean for equivalent square estimation
por: Zhou, Sumin, et al.
Publicado: (2017) -
GPU-Q-J, a fast method for calculating root mean square deviation (RMSD) after optimal superposition
por: Hung, Ling-Hong, et al.
Publicado: (2011) -
Kernel Partial Least Squares Feature Selection Based on Maximum Weight Minimum Redundancy
por: Liu, Xiling, et al.
Publicado: (2023) -
Standard deviation and standard error of the mean
por: Lee, Dong Kyu, et al.
Publicado: (2015)