PU,使

Omar Zamzam1, Haleh Akrami1, Mahdi Soltanolkotabi1

  • 1Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA.

Proceedings. International Conference on Image Processing
|October 9, 2025
PubMed
概括

这项研究引入了一种新的神经网络方法,用于正非标记 (PU) 学习,有效地将未标记的数据分成正和负的集群. 与现有技术相比,这种方法可以提高高维数据分类的准确性.