Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers

The existing noise detection methods required the classifiers or distance measurements or data overall distribution, and `curse of dimensionality' and other restrictions made them insufficiently effective in complex data, e.g., different attribute weights, high-dimensionality, containing featur...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on knowledge and data engineering 2019-11, Vol.31 (11), p.2063-2078
Hauptverfasser: Xia, Shuyin, Wang, Guoyin, Chen, Zizhong, Duan, Yanlin, liu, Qun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!