Machine learningMachine learning

Online Logistic Regression

Online Logistic Regression prilagođava logistički klasifikator jedan uzorak (ili mini-bač) po jedan, koristeći stohastički gradijentni spust, ažurirajući težine modela kako svaka opservacija pristiže, umesto da čeka ceo skup podataka. Ovo ga čini standardnim izborom za probleme binarne klasifikacije visokog obima, protoka podataka ili ograničenog memorijskog prostora, gde je bač obuka neizvodljiva.

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Izvori

  1. Bottou, L. (2010). Large-Scale Machine Learning with Stochastic Gradient Descent. In Proceedings of COMPSTAT 2010, 177–186. Physica-Verlag. link
  2. Shalev-Shwartz, S. (2012). Online Learning and Online Convex Optimization. Foundations and Trends in Machine Learning, 4(2), 107–194. DOI: 10.1561/2200000018

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Online Logistic Regression (Incremental Stochastic Gradient Descent). ScholarGate. https://scholargate.app/sr/machine-learning/online-logistic-regression

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Citirana u

ScholarGateOnline Logistic Regression (Online Logistic Regression (Incremental Stochastic Gradient Descent)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/online-logistic-regression · Skup podataka: https://doi.org/10.5281/zenodo.20539026