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Machine learning

Label Propagation

Label Propagation er en grafbaseret semi-superviseret læringsalgoritme introduceret af Zhu og Ghahramani i 2002, der spreder klasselabels fra et lille sæt af mærkede knuder til et stort sæt af umærkede knuder ved iterativt at diffundere labelinformation langs kanterne af en lighedsgraf, idet den udnytter datastrukturens manifoldstruktur.

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Kilder

  1. Zhu, X., & Ghahramani, Z. (2002). Learning from labeled and unlabeled data with label propagation. Technical Report CMU-CALD-02-107, Carnegie Mellon University. link
  2. 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
  3. Chapelle, O., Scholkopf, B., & Zien, A. (Eds.) (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9

Sådan citerer du denne side

ScholarGate. (2026, June 3). Label Propagation (Graph-Based Semi-Supervised Learning). ScholarGate. https://scholargate.app/da/machine-learning/label-propagation

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Refereret af

ScholarGateLabel Propagation (Label Propagation (Graph-Based Semi-Supervised Learning)). Hentet 2026-06-15 fra https://scholargate.app/da/machine-learning/label-propagation · Datasæt: https://doi.org/10.5281/zenodo.20539026