Popular Ensemble Methods: An Empirical Study

An ensemble consists of a set of individually trained classifiers (such as neural networks or decision trees) whose predictions are combined when classifying novel instances. Previous research has shown that an ensemble is often more accurate than any of the single classifiers in the ensemble. Baggi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2011-06
Hauptverfasser:	Maclin, R, Opitz, D
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bagging Classification Classifiers Computer Science - Artificial Intelligence Datasets Decision trees Empirical analysis Neural networks Production methods
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!