Imbalanced Learning Based on Logistic Discrimination
In recent years, imbalanced learning problem has attracted more and more attentions from both academia and industry, and the problem is concerned with the performance of learning algorithms in the presence of data with severe class distribution skews. In this paper, we apply the well-known statistic...
Main Authors: | Huaping Guo, Weimei Zhi, Hongbing Liu, Mingliang Xu |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
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Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2016/5423204 |
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