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Polu-nadgledano glasačko pojačanje

Polu-nadgledano glasačko pojačanje (semi-supervised voting ensemble) obučava višestruke klasifikatore na malom označenom skupu, a zatim iterativno koristi neoznačene podatke tako što klasifikatori označavaju primere oko kojih se slažu, proširujući skup za obuku dok svi klasifikatori ne glasaju zajednički o test primerima. Kombinuje efikasnost oznaka polu-nadgledanog učenja sa smanjenjem varijanse pojačanja većinskog glasanja, što ga čini vrednim kada je anotacija skupa.

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Izvori

  1. Zhou, Z.-H., & Li, M. (2005). Tri-training: Exploiting unlabeled data using three classifiers. IEEE Transactions on Knowledge and Data Engineering, 17(11), 1529–1541. DOI: 10.1109/TKDE.2005.186
  2. Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. Proceedings of the 11th Annual Conference on Computational Learning Theory (COLT), 92–100. DOI: 10.1145/279943.279962

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Semi-supervised Voting Ensemble (Agreement-based Multi-classifier with Unlabeled Data). ScholarGate. https://scholargate.app/sr/machine-learning/semi-supervised-voting-ensemble

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Citirana u

ScholarGateSemi-supervised Voting Ensemble (Semi-supervised Voting Ensemble (Agreement-based Multi-classifier with Unlabeled Data)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/semi-supervised-voting-ensemble · Skup podataka: https://doi.org/10.5281/zenodo.20539026