A novel feature selection algorithm based on damping oscillation theory.
Feature selection is an important task in big data analysis and information retrieval processing. It reduces the number of features by removing noise, extraneous data. In this paper, one feature subset selection algorithm based on damping oscillation theory and support vector machine classifier is p...
Guardado en:
Autores principales: | Fujun Wang, Xing Wang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/4d36281829074bf3844ad192f3430b27 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Damped circadian oscillation in the absence of KaiA in Synechococcus
por: Naohiro Kawamoto, et al.
Publicado: (2020) -
Damping Formation Mechanism and Damping Injection of Virtual Synchronous Generator Based on Generalized Hamiltonian Theory
por: Yun Zeng, et al.
Publicado: (2021) -
Oscillation of third-order neutral damped differential equations
por: Miroslav Bartusek
Publicado: (2021) -
Giant voltage-controlled modulation of spin Hall nano-oscillator damping
por: Himanshu Fulara, et al.
Publicado: (2020) -
Oscillation criteria of third-order neutral differential equations with damping and distributed deviating arguments
por: Yakun Wang, et al.
Publicado: (2021)