On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications

Random Forest (RF) is an ensemble supervised machine learning technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still room for enhancing and improving its pe...

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Hauptverfasser:	Fawagreh, Khaled, Gaber, Mohamad Medhat, Elyan, Eyad
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning
Online-Zugang:	Volltext bestellen
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