ScholarGate
Msaidizi
Machine learning

Uenezaji wa Lebo

Uenezaji wa Lebo ni algorithmu ya kujifunza kwa nusu-kusimamiwa inayotokana na grafu iliyoanzishwa na Zhu na Ghahramani mwaka 2002 ambayo hueneza lebo za darasa kutoka kwa seti ndogo ya nodi zenye lebo hadi seti kubwa ya nodi zisizo na lebo kwa kueneza taarifa za lebo mara kwa mara kando ya kingo za grafu ya kufanana, ikitumia muundo wa kinyama wa data.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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Imerejelewa na

ScholarGateLabel Propagation (Label Propagation (Graph-Based Semi-Supervised Learning)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/label-propagation · Seti ya data: https://doi.org/10.5281/zenodo.20539026