Improved convergence rates for some kernel random forest algorithms

Random forests are notable learning algorithms first introduced by Breinman in 2001, they are widely used for classification and regression tasks and their mathematical properties are under ongoing research. We consider a specific class of random forest algorithms related to kernel methods, the so-c...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Iakovidis, Isidoros, Arcozzi, Nicola
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Convergence Hilbert space Kerf Kernels Machine learning
Online-Zugang:	Volltext
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