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Updated: Sep 10, 2025

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通过使用SVM+将复杂的多类不平衡和重叠数据映射到更高的维度来改善学习

Zafar Mahmood1, Leila Jamel2, Dina Ahmed Salem3

  • 1Department of Computer Science, University of Gujrat, Gujrat, Pakistan.

Scientific reports
|August 25, 2025
PubMed
概括

本研究介绍了SVM++,一种新的支持矢量机 (SVM) 方法,以提高多类分类性能. SVM++有效地解决了不平衡的数据和重叠的样本,提高了复杂数据集的分类器准确性.

关键词:
类重叠的样本不平衡数据核心映射功能覆盖和不覆盖的区域支持向量机器

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