Msitu wa Kawaida wa Bahatisha
Msitu wa Kawaida wa Bahatisha (RRF), ulioanzishwa na Deng na Runger mwaka 2012, unapanua Msitu wa Kawaida kwa kuongeza adhabu inayokataza kugawanyika kwa vipengele ambavyo havijatumiwa tayari katika mkusanyiko. Urekebishaji huu uliojengewa ndani unazalisha seti za vipengele ambazo ni chache na hazina marudio, na kuufanya mfumo kuwa muhimu sana wakati uteuzi wa kipengele ni muhimu kama usahihi wa utabiri.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- 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 ↗
- 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 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Regularized Random Forest (RRF). ScholarGate. https://scholargate.app/sw/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.
- Mti wa UamuziUjifunzaji wa Mashine↔ compare
- Miti ya ZiadaUjifunzaji wa Mashine↔ compare
- Msitu NasibuUjifunzaji wa Mashine↔ compare
- Regularized Decision TreeUjifunzaji wa Mashine↔ compare
- Uboreshaji wa Gradient UlioimarishwaUjifunzaji wa Mashine↔ compare
Imerejelewa na
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