变量标签增强用于依赖实例的部分标签学习

概括

本研究引入了部分标签学习 (PLL) 的新方法,解决了依赖实例的标签噪声. 拟议的VALEN和MILEN模型通过增强隐藏标签分布,有效地提高了预测准确性.

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