Machine learning
标签传播
标签传播是一种基于图的半监督学习算法，由Zhu和Ghahramani于2002年提出，它通过在相似性图的边上迭代地扩散标签信息，将少量标记节点的类别标签传播到大量未标记节点，从而利用数据的流形结构。
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来源
- Zhu, X., & Ghahramani, Z. (2002). Learning from labeled and unlabeled data with label propagation. Technical Report CMU-CALD-02-107, Carnegie Mellon University. link ↗
- Zhu, X., Ghahramani, Z., & Lafferty, J. (2003). Semi-supervised learning using Gaussian fields and harmonic functions. Proceedings of the 20th International Conference on Machine Learning (ICML-2003), pp. 912–919. link ↗
- Chapelle, O., Scholkopf, B., & Zien, A. (Eds.) (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9
如何引用本页
ScholarGate. (2026, June 3). Label Propagation (Graph-Based Semi-Supervised Learning). ScholarGate. https://scholargate.app/zh/machine-learning/label-propagation
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