多类不平衡数据分类方法综述.
李昂， 韩萌， 穆栋梁， 高智慧… - Application Research of …, 2022 - search.ebscohost.com
现实中许多领域产生的数据通常具有多个类别并且是不平衡的. 在多类不平衡分类中, 类重叠,
噪声和多个少数类等问题降低了分类器的能力, 而有效解决多类不平衡问题已经成为机器学习与 …
噪声和多个少数类等问题降低了分类器的能力, 而有效解决多类不平衡问题已经成为机器学习与 …
多类不平衡数据分类方法综述
李昂， 韩萌， 穆栋梁 - 计算机应用研究, 2022 - arocmag.com
摘要In reality, the data generated in many fields usually have multiple classes and are
imbalanced. In multi-class imbalance classification, problems such as class overlap, noise …
imbalanced. In multi-class imbalance classification, problems such as class overlap, noise …
多类不平衡数据分类方法综述
李昂， 韩萌， 穆栋梁 - 计算机应用研究, 2022 - arocmag.com
摘要In reality, the data generated in many fields usually have multiple classes and are
imbalanced. In multi-class imbalance classification, problems such as class overlap, noise …
imbalanced. In multi-class imbalance classification, problems such as class overlap, noise …