Machine learningMachine learning

Robno glasanje (Robust Voting Ensemble)

Robno glasanje kombinuje predikcije više baznih klasifikatora koristeći agregaciju otpornu na šum — kao što je ponderisano glasanje, obrezano glasanje ili kombinacija zasnovana na medijani — kako bi se proizvele konačne odluke koje ostaju pouzdane kada su pojedinačni klasifikatori oštećeni šumnim oznakama, neprijateljskim ulazima ili pomeranjem distribucije.

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Izvori

  1. Dietterich, T. G. (2000). Ensemble methods in machine learning. In J. Kittler & F. Roli (Eds.), Multiple Classifier Systems, LNCS 1857, 1–15. Springer. DOI: 10.1007/3-540-45014-9_1
  2. Rokach, L. (2010). Ensemble-based classifiers. Artificial Intelligence Review, 33(1–2), 1–39. DOI: 10.1007/s10462-009-9124-7

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Robust Voting Ensemble (Noise-Resistant Majority and Weighted Voting of Classifiers). ScholarGate. https://scholargate.app/hr/machine-learning/robust-voting-ensemble

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ScholarGateRobust Voting Ensemble (Robust Voting Ensemble (Noise-Resistant Majority and Weighted Voting of Classifiers)). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/robust-voting-ensemble · Skup podataka: https://doi.org/10.5281/zenodo.20539026