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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...

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Bibliografski detalji
Izdano u:Comput Intell Neurosci
Glavni autori: Guo, Huaping, Zhi, Weimei, Liu, Hongbing, Xu, Mingliang
Format: Artigo
Jezik:Inglês
Izdano: Hindawi Publishing Corporation 2016
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4736373/
https://ncbi.nlm.nih.gov/pubmed/26880877
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/5423204
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