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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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Detalles Bibliográficos
Autores principales: Guo, Huaping, Zhi, Weimei, Liu, Hongbing, Xu, Mingliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736373/
https://www.ncbi.nlm.nih.gov/pubmed/26880877
http://dx.doi.org/10.1155/2016/5423204