Statistical Advantages of Oblique Randomized Decision Trees and Forests

This work studies the statistical advantages of using features comprised of general linear combinations of covariates to partition the data in randomized decision tree and forest regression algorithms. Using random tessellation theory in stochastic geometry, we provide a theoretical analysis of a cl...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	O'Reilly, Eliza
Format:	Artikel
Sprache:	eng
Schlagworte:	Mathematics - Statistics Theory Statistics - Machine Learning Statistics - Theory
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!