首页>
外国专利>
Data fusion and classification with imbalanced datasets
Data fusion and classification with imbalanced datasets
展开▼
机译:不平衡数据集的数据融合和分类
展开▼
页面导航
摘要
著录项
相似文献
摘要
Method and system for classification in imbalanced datasets within a supervised classification framework. Bootstrap methodology is modified according to sampling weights and adaptive target set size principle, to induce weak classifiers from the bootstrap samples in an iterative procedure that results in a set of weak classifiers. A weighted combination scheme is used to adaptively combine the weak classifiers to a strong classifier that achieves good performance for all classes (reflected as high values for metrics such as G-mean and F-score) as well as good overall accuracy.
展开▼