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Reguleeritud juhuslik mets

Reguleeritud juhuslik mets (RRF), mille tutvustasid Deng ja Runger 2012. aastal, laiendab standardset juhuslikku metsa, lisades karistuse, mis pärsib jagamisi tunnuste osas, mida ansamblis veel ei ole kasutatud. See sisseehitatud regulariseerimine loob hõredamaid ja vähem üleliigseid tunnuskomplekte, muutes mudeli eriti väärtuslikuks, kui tunnuste valik on sama oluline kui ennustustäpsus.

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Method map

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Allikad

  1. Deng, H., & Runger, G. (2012). Feature selection via regularized trees. Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1–8. DOI: 10.1109/IJCNN.2012.6252640
  2. Deng, H., & Runger, G. (2013). Gene selection with guided regularized random forest. Pattern Recognition, 46(12), 3483–3489. DOI: 10.1016/j.patcog.2013.05.018

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Regularized Random Forest (RRF). ScholarGate. https://scholargate.app/et/machine-learning/regularized-random-forest

Which method?

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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Sellele viitavad

ScholarGateRegularized random forest (Regularized Random Forest (RRF)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/machine-learning/regularized-random-forest · Andmestik: https://doi.org/10.5281/zenodo.20539026