Adaptive Fusion Based Method for Imbalanced Data Classification

The imbalance problem is widespread in real-world applications. When training a classifier on the imbalance datasets, the classifier is hard to learn an appropriate decision boundary, which causes unsatisfying classification performance. To deal with the imbalance problem, various ensemble algorithm...

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Detalles Bibliográficos
Autores principales: Liang, Zefeng, Wang, Huan, Yang, Kaixiang, Shi, Yifan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918481/
https://www.ncbi.nlm.nih.gov/pubmed/35295673
http://dx.doi.org/10.3389/fnbot.2022.827913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918481/
https://www.ncbi.nlm.nih.gov/pubmed/35295673
http://dx.doi.org/10.3389/fnbot.2022.827913

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