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  4. Cited By
Forest Garrote

Forest Garrote

19 June 2009
N. Meinshausen
ArXiv (abs)PDFHTML

Papers citing "Forest Garrote"

5 / 5 papers shown
Title
Machine learning with data assimilation and uncertainty quantification
  for dynamical systems: a review
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
Sibo Cheng
César Quilodrán-Casas
Said Ouala
A. Farchi
Che Liu
...
Weiping Ding
Yike Guo
A. Carrassi
Marc Bocquet
Rossella Arcucci
AI4CE
81
138
0
18 Mar 2023
Iterative Random Forests to detect predictive and stable high-order
  interactions
Iterative Random Forests to detect predictive and stable high-order interactions
Sumanta Basu
Karl Kumbier
James B. Brown
Bin Yu
AI4CE
77
285
0
26 Jun 2017
Exploiting random projections and sparsity with random forests and
  gradient boosting methods -- Application to multi-label and multi-output
  learning, random forest model compression and leveraging input sparsity
Exploiting random projections and sparsity with random forests and gradient boosting methods -- Application to multi-label and multi-output learning, random forest model compression and leveraging input sparsity
Arnaud Joly
60
10
0
26 Apr 2017
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
259
2,868
0
18 Nov 2015
Node harvest
Node harvest
N. Meinshausen
151
64
0
12 Oct 2009
1