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...

Full description

Bibliographic Details
Main Authors: Xiaoqing Gu, Tongguang Ni, Hongyuan Wang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/536434