针对不平衡数据集，提出一种基于后验概率的特征选择算法。
In this paper, a posterior-probability-based feature selection algorithm is proposed for imbalanced datasets.
针对图像标注中所使用数据集存在的数据不平衡问题，提出一种新的基于外部数据库的自动平衡模型。
Concerning the imbalance of the data set used in image annotation, a new self-balancing model based on external database was proposed.
目前国际上对类别不平衡数据的研究主要集中在两个个层面：对数据集的处理和对分类算法的改进。
At present, researches on class imbalance problems mainly focus on two aspects: dataset processing and classification method improving.
目前国际上对类别不平衡数据的研究主要集中在两个个层面：对数据集的处理和对分类算法的改进。
At present, researches on class imbalance problems mainly focus on two aspects: dataset processing and classification method improving.
应用推荐