Machine learningMachine learning

Online polu-nadgledano učenje

Online polu-nadgledano učenje kombinira inkrementalnu prirodu učenja u jednom prolazu (online learning) sa sposobnošću iskorištavanja neoznačenih podataka uz oskudne označene opservacije. Dizajnirano je za postavke gdje podaci pristižu kao tok i dobivanje oznaka za svaku instancu je skupo ili nepraktično — kao što je klasifikacija sadržaja na webu u stvarnom vremenu, očitanja senzora ili objave na društvenim mrežama.

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Izvori

  1. Goldberg, A., Li, M., & Zhu, X. (2008). Online manifold regularization: A new learning setting and empirical study. In Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pp. 393–407. Springer. link
  2. Semi-supervised learning. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Online Semi-supervised Learning (Stream-based Learning with Partial Labels). ScholarGate. https://scholargate.app/hr/machine-learning/online-semi-supervised-learning

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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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ScholarGateOnline Semi-supervised learning (Online Semi-supervised Learning (Stream-based Learning with Partial Labels)). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/online-semi-supervised-learning · Skup podataka: https://doi.org/10.5281/zenodo.20539026