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...

Full description

Bibliographic Details
Main Authors: Huaping Guo, Weimei Zhi, Hongbing Liu, Mingliang Xu
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2016/5423204

Similar Items