积极无标签的学习与标签分发的调整

概括

本研究引入了带有标签分布对齐 (PULDA) 的正非标签学习,以解决受过有限数据训练的分类器中的偏见. 普尔达调整了标签分配,消除了负面预测偏差,并提高了模型的可区分性.

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