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Bayesovski stroj potpornih vektora

Bayesovski SVM postavlja apriorne distribucije na vektor težina standardnog SVM-a i izračunava potpunu aposteriornu distribuciju, omogućujući kalibrirane procjene nesigurnosti, automatski odabir hiperparametara i probabilističke predikcije. Kombinira snažnu geometrijsku intuiciju SVM-ova temeljenu na marginama s principijelnim kvantificiranjem nesigurnosti iz Bayesovske inferencije.

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Izvori

  1. Polson, N. G., & Scott, S. L. (2011). Data augmentation for support vector machines. Bayesian Analysis, 6(1), 1–23. DOI: 10.1214/11-BA601
  2. Tipping, M. E. (2001). Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1, 211–244. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Support Vector Machine (Bayesian SVM). ScholarGate. https://scholargate.app/hr/machine-learning/bayesian-support-vector-machine

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ScholarGateBayesian Support Vector Machine (Bayesian Support Vector Machine (Bayesian SVM)). Preuzeto 2026-06-15 s https://scholargate.app/hr/machine-learning/bayesian-support-vector-machine · Skup podataka: https://doi.org/10.5281/zenodo.20539026