New Fuzzy Support Vector Machine for the Class Imbalance Problem in Medical Datasets Classification

In medical datasets classification, support vector machine (SVM) is considered to be one of the most successful methods. However, most of the real-world medical datasets usually contain some outliers/noise and data often have class imbalance problems. In this paper, a fuzzy support machine (FSVM) fo...

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Detalles Bibliográficos
Autores principales: Gu, Xiaoqing, Ni, Tongguang, Wang, Hongyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982259/
https://www.ncbi.nlm.nih.gov/pubmed/24790571
http://dx.doi.org/10.1155/2014/536434

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982259/
https://www.ncbi.nlm.nih.gov/pubmed/24790571
http://dx.doi.org/10.1155/2014/536434

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