which can be used to handle the class imbalance problem in the presence of outliers and noise. We thoroughly evaluated the proposed FSVM-CIL method on ten real-world imbalanced datasets and compared its performance with five existing CIL methods, which are available for normal SVM training. Based...
再根据点到由DEC(Different Error Costs)确定的超平面的距离,得到初始隶属度,并用改进的FSVM-CIL(Fuzzy Support Vector Machines for Class Imbalance Learning)更新... 盛晓遐,杨志民,王甜甜 - 《计算机工程与应用》 被引量: 0发表: 2019年 A Simple Classification Method for Class Imbalanced Data using the Ke...
Lakshmanan B, Priscilla A J, Ponni S, et al. Evaluation of im-balanced datasets using fuzzy support vector machine- class imbalance learning(FSVM-CIL) [ C ]//Proc of international conference on recent trends in information technology. [ s. 1. ] :[s.n. ] ,2011:1131-1136....