Learning imbalanced classifiers locally and globally with one-side probability machine
We consider the imbalanced learning problem, where the data associated with one class
are far fewer than those associated with the other class. Current imbalanced learning …
are far fewer than those associated with the other class. Current imbalanced learning …
基于高斯分布的非平衡FSVM
吴武斌， 罗秋凤 - 云南民族大学学报: 自然科学版, 2015 - cqvip.com
针对传统模糊支持向量机算法采用样本到类中心的距离关系来构建模糊隶属度函数存在不足,
以及易受数据集不平衡的影响, 提出了一种基于高斯分布的FSVM, 该方法既考虑了2 …
以及易受数据集不平衡的影响, 提出了一种基于高斯分布的FSVM, 该方法既考虑了2 …
[引用][C] 基于高斯分布的非平衡FSVM A FSVM for the imbalanced dataset based on the Gaussian distribution 云南民族大学学报: 自然科学版, 2015, 24 (6): 501-505
吴武斌WWB - 云南民族大学学报(自然科学版), 2015