基于合群度-隶属度噪声检测及动态特征选择的改进AdaBoost算法
王友卫,凤丽洲

Improved AdaBoost algorithm using group degree and membership degree based noise detection and dynamic feature selection
You-wei WANG,Li-zhou FENG
图 3 不同特征选择方法在不同数据集上的F1均值(Fa)比较
Fig.3 Comparison of average F1 values(Fa)of different feature selection methods on different datasets