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Nov, 2024
基于图的半监督隔离Lipschitz学习
Graph-Based Semi-Supervised Segregated Lipschitz Learning
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Farid Bozorgnia, Yassine Belkheiri, Abderrahim Elmoataz
TL;DR
本研究解决了半监督学习中标签稀缺和类别不平衡的问题，提出了一种利用无限Laplacian性质进行标签传播的新框架。该方法在多个基准数据集上的实验验证中，显示出比现有方法更高的分类准确性，并在有限标签数据的场景中高效地传播标签。
Abstract
This paper presents an approach to
Semi-Supervised Learning
for the classification of data using the
Lipschitz Learning
on graphs. We develop a graph-based
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