1.
Research on classification algorithms in imbalanced data based on boosting
基于推进的非平衡数据分类算法研究
2.
A Classfication Method For Imbalance Data Set Based on Kernel SMOTE
一种基于核SMOTE的非平衡数据集分类方法
3.
Research on Support Vector Domain Classification Predication Model of Non-Balance Data Set
非平衡数据集的支持向量域分类预测模型研究
4.
Balance and Imbalance Data Set Classification Based on Self-adjusting Classification-plane SVM
基于自调节分类面SVM的平衡不平衡数据分类
5.
Balanced and imbalanced data sets classification based on sample projection distribution
基于样本投影分布的平衡不平衡数据集分类
6.
The Study on Random-SMOTE for the Classification of Imbalanced Data Sets
不平衡数据集分类的Random-SMOTE方法研究
7.
Based on Data Level Classification of Unbalanced Datasets
基于数据层面的不平衡数据集的分类方法
8.
Analysis of linear mixed models with unbalanced data using SAS PROC MIXED;
利用SASPROC MIXED分析混合线性模型非平衡试验数据
9.
The Effect of Data Imbalance and Others on SVM Classifiers-Experimental Study;
数据不平衡及其他对SVM分类器的影响—实验研究
10.
Research on Support Vector Machine Classification Method for Imbalanced Datasets
面向不平衡数据的支持向量机分类方法研究
11.
Instance Importance Based SVM for Solving Imbalanced Data Classification
基于实例重要性的SVM解不平衡数据分类
12.
CLASSIFYING IMBALANCED DATA WITH WEIGHT-RETOUCHING AND IMPROVED CLASSIFICATION
权重润饰和改进的分类对不平衡数据的处理
13.
Cost-sensitive classification strategy for imbalanced datasets of intrusion detection
不平衡入侵检测数据的代价敏感分类策略
14.
Imbalance data classification algorithm based on support vector machines
基于支持向量机的不平衡数据分类算法的研究
15.
Research on classification technique for imbalanced dataset based on support vector machines
基于支持向量机的不平衡数据集分类方法研究
16.
Multi-class SVM method based on non-balanced binary tree
非平衡二叉树多类支持向量机分类方法
17.
Improving Support Vector Machine for Learning Unbalanced Data Set;
一种用于学习非平衡数据支持向量机的改进
18.
Adjustment Method of the Offset of Separating Hyperplane for Imbalanced Data;
不平衡数据的分离超平面偏置的调整方法