Handling class imbalance problem in context knowledge dataset based on improved SVM
改进的SVM解决背景知识数据中的类不平衡*

Focusing on the drawback that the performance of standard classifiers is often severely hindered in practice due to the imbalanced distribution of class in the context knowledge dataset,this paper analyzed the current methods' problem in resolving the class imbalance problem in the context knowledge dataset according to its small sample and high dimension features.Then,proposed an improved SVM algorithm.The proposed SVM used a weight parameter to adjust the decision function and improved the small sample cl...