• Experimental results on UCI data sets and dataset of brain glioma show that MIEE improves the classification performance and prediction ability on the imbalanced dataset.

    UCI数据大脑胶质瘤数据实验结果表明算法提高分类器在不均衡数据集的分类性能预报能力

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  • A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.

    本文提出基于黎曼度量训练样本类不平衡问题分类方法。

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  • A method based on Riemannian metric to the classification problem with imbalanced training data was proposed.

    本文提出基于黎曼度量训练样本类不平衡问题分类方法。

    youdao

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