Imbalance Classification Based on Informative Instances Selection

Imbalance Classification Based on Informative Instances Selection

Class imbalance is a common challenge issue in practical classification problem for traditional models. Due to traditional learning algorithms can not sufficiently learn the hidden patterns from the minority classes and may be biased towards majority classes, thus minority instances are usually misc...

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Bibliographic Details
Main Author: XU Jian, WANG Xinyue, CAI Zixin, SHEN Qihang, JING Liping
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-03-01
Series:Jisuanji kexue yu tansuo
Subjects:
class imbalance learning
classification
squeeze-and-excitation networks
cost-sensitive learning
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2134.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2134.shtml

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