Machine learningMachine learning

Podržani mašinski učilac sa aktivnim učenjem

Aktivno učenje SVM kombinuje snažnu graničnu odluku mašina sa potpornim vektorima sa inteligentnom strategijom upita koja bira najinformativnije neoznačene instance za ljudsku anotaciju. Predstavljen od strane Tong-a i Koller-a 2001. godine, postiže visoku tačnost klasifikacije koristeći daleko manje označenih primera nego pasivno nadgledano učenje, što ga čini praktičnim kad god je označavanje skupo ili sporo.

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Izvori

  1. Tong, S., & Koller, D. (2001). Support Vector Machine Active Learning with Applications to Text Classification. Journal of Machine Learning Research, 2, 45–66. link
  2. Settles, B. (2010). Active Learning Literature Survey. Computer Sciences Technical Report 1648, University of Wisconsin–Madison. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Active Learning Support Vector Machine. ScholarGate. https://scholargate.app/sr/machine-learning/active-learning-support-vector-machine

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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

ScholarGateActive learning Support vector machine (Active Learning Support Vector Machine). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/active-learning-support-vector-machine · Skup podataka: https://doi.org/10.5281/zenodo.20539026