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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Format: | Article |
Language: | zho |
Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2020-03-01
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Series: | Jisuanji kexue yu tansuo |
Subjects: | |
Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2134.shtml |