Generalized Support Vector Regression and Symmetry Functional Regression Approaches to Model the High-Dimensional Data

Generalized Support Vector Regression and Symmetry Functional Regression Approaches to Model the High-Dimensional Data

The analysis of the high-dimensional dataset when the number of explanatory variables is greater than the observations using classical regression approaches is not applicable and the results may be misleading. In this research, we proposed to analyze such data by introducing modern and up-to-date te...

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Bibliographic Details
Main Authors: Mahdi Roozbeh, Arta Rouhi, Nur Anisah Mohamed, Fatemeh Jahadi
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Symmetry
Subjects:
functional regression
high-dimensional data
lasso regression
ridge regression
support vector regression
Online Access:https://www.mdpi.com/2073-8994/15/6/1262

Internet

https://www.mdpi.com/2073-8994/15/6/1262

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