First order random forests with complex aggregates

Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well when lots of features are available. This certainly is the case in first order learning, especially when aggregate func...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Lecture Notes in Computer Science 2004, Vol.3194, p.323-340
Hauptverfasser:	Vens, Celine, Van Assche, Anneleen, Blockeel, Hendrik, Dzeroski, Saso
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!