Machine learningMachine learning

Polu-nadgledano upredanje

Polu-nadgledano upredanje proširuje klasično upredanje (bagging) na postavke gde su obeleženi skupovi podataka oskudni, ali je dostupna velika količina neobeleženih podataka. Osnovni učenici obučeni na obeleženim podacima dodeljuju pseudo-oznake neobeleženim primerima; prošireni skup podataka se zatim koristi za rast raznolikog ansambla čiji agregirani glasovi preciznije i stabilnije predviđaju nego bilo koji pojedinačni model obučen samo na ograničenom obeleženom skupu.

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Izvori

  1. Bennett, K. P., & Demiriz, A. (1999). Semi-supervised support vector machines. Advances in Neural Information Processing Systems, 11. MIT Press. link
  2. Li, M., & Zhou, Z.-H. (2005). SETRED: Self-training with editing. In Proceedings of the 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), LNAI 3518, pp. 611–621. Springer. DOI: 10.1007/11430919_71

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Bagging (Bootstrap Aggregating with Unlabeled Data). ScholarGate. https://scholargate.app/sr/machine-learning/semi-supervised-bagging

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Citirana u

ScholarGateSemi-supervised Bagging (Semi-supervised Bagging (Bootstrap Aggregating with Unlabeled Data)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/semi-supervised-bagging · Skup podataka: https://doi.org/10.5281/zenodo.20539026