Machine learningMachine learning

Polu-nadgledana linearna regresija

Polu-nadgledana linearna regresija uklapa linearni model na malom označenom skupu podataka, a zatim koristi veći skup neoznačenih opservacija za poboljšanje procena koeficijenata i generalizacije. Generisanjem pseudo-oznaka za neoznačene tačke i iterativnim poboljšanjem modela, postiže bolju prediktivnu tačnost nego isključivo nadgledani linearni model obučen samo na oskudnim oznakama.

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Izvori

  1. Chapelle, O., Scholkopf, B., & Zien, A. (Eds.). (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9
  2. Zhou, Z.-H., & Li, M. (2005). Semi-supervised regression with co-training. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), 908–913. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Linear Regression (Linear Model with Labeled and Unlabeled Data). ScholarGate. https://scholargate.app/sr/machine-learning/semi-supervised-linear-regression

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ScholarGateSemi-supervised Linear Regression (Semi-supervised Linear Regression (Linear Model with Labeled and Unlabeled Data)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/semi-supervised-linear-regression · Skup podataka: https://doi.org/10.5281/zenodo.20539026