Robust correlation feature selection based support vector machine approach for high dimensional datasets

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Robust correlation feature selection based support vector machine approach for high dimensional datasets

Correlation-based feature selection methods are popular tools used to select the most important variables to include the true model in the analysis of sparse and high-dimensional models. In application, the presence of anomalous observations in both predictors and responses can seriously jeopardize...

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Bibliographic Details
Main Authors:	Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib
Format:	Article
Language:	English
Published:	Elsevier B.V. 2025
Online Access:	http://psasir.upm.edu.my/id/eprint/120119/ http://psasir.upm.edu.my/id/eprint/120119/1/120119.pdf

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