A Feature Selection Based Serial SVM Ensemble Classifier

A serial support vector machine (SVM) ensemble classifier based on feature selection is designed to improve the efficiency and accuracy of unbalanced data classification so as to fully excavate the potential of features. The performance measurement indicators of the traditional SVM model &#x201C...

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Bibliographic Details
Main Authors: Jianjun Cao, Guojun Lv, Chen Chang, Hongmei Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8716648/