相关实验视频

不确定性加权的半监督学习与动态掩盖和Bhattacharyya规范化的损失

Mohammed Talal Ghazal1,2, Jafar Tanha3, Nasrin Shahi1

  • 1Department of Electrical & Computer Engineering, University of Tabriz, Tabriz, Iran.

Scientific reports
|November 27, 2025
PubMed
概括

这项研究引入了一种新的半监督学习 (SSL) 框架,可以提高噪音和不平衡数据集的分类准确性. 该方法有效处理不确定的数据,优于现有的SSL技术.

关键词:
巴塔查里亚-正规化的分歧动态掩盖方式 动态掩盖方式伪标签是一种伪标签.半监督学习 半监督学习不确定性加权培训不确定性加权培训

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