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Consistency of Random Survival Forests

Consistency of Random Survival Forests

18 November 2008
H. Ishwaran
U. B. Kogalur
ArXiv (abs)PDFHTML

Papers citing "Consistency of Random Survival Forests"

32 / 32 papers shown
Title
Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest
  Performance
Bootstrap Sampling Rate Greater than 1.0 May Improve Random Forest Performance
Stanisław Kaźmierczak
Jacek Mańdziuk
36
0
0
05 Oct 2024
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest
Shen-Huan Lyu
Jin-Hui Wu
Qin-Cheng Zheng
Baoliu Ye
95
0
0
06 Jul 2024
Consistency of Oblique Decision Tree and its Boosting and Random Forest
Consistency of Oblique Decision Tree and its Boosting and Random Forest
Haoran Zhan
Yu Liu
Yingcun Xia
57
3
0
23 Nov 2022
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of
  Deep Survival Models
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models
Mohammadreza Rezaei
Reza Saadati Fard
Ebrahim Pourjafari
Navid Ziaei
Amir Sameizadeh
M. Shafiee
M. Alavinia
M. Abolghasemian
Nick Sajadi
72
1
0
27 Oct 2022
Accelerated and interpretable oblique random survival forests
Accelerated and interpretable oblique random survival forests
Byron C. Jaeger
Sawyer Welden
K. Lenoir
J. Speiser
M. Segar
A. Pandey
N. Pajewski
54
18
0
01 Aug 2022
Boost-R: Gradient Boosted Trees for Recurrence Data
Boost-R: Gradient Boosted Trees for Recurrence Data
Xiao Liu
Rong Pan
21
6
0
03 Jul 2021
On the Consistency of a Random Forest Algorithm in the Presence of
  Missing Entries
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries
Irving Gómez-Méndez
Émilien Joly
73
2
0
10 Nov 2020
Smoothing and adaptation of shifted Pólya Tree ensembles
Smoothing and adaptation of shifted Pólya Tree ensembles
Thibault Randrianarisoa
52
3
0
23 Oct 2020
Asymptotic Properties of High-Dimensional Random Forests
Asymptotic Properties of High-Dimensional Random Forests
Chien-Ming Chi
Patrick Vossler
Yingying Fan
Jinchi Lv
48
35
0
29 Apr 2020
An evaluation of machine learning techniques to predict the outcome of
  children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from
  the Children's Oncology Group
An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children's Oncology Group
Cédric Beaulac
Jeffrey S. Rosenthal
Q. Pei
D. Friedman
S. Wolden
D. Hodgson
20
9
0
15 Jan 2020
Models under which random forests perform badly; consequences for
  applications
Models under which random forests perform badly; consequences for applications
J. A. Ferreira
35
4
0
02 Oct 2019
Asymptotic Distributions and Rates of Convergence for Random Forests via
  Generalized U-statistics
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics
Weiguang Peng
T. Coleman
L. Mentch
95
41
0
25 May 2019
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
Y. Goldberg
35
1
0
05 Mar 2019
Comparison-Based Random Forests
Comparison-Based Random Forests
Siavash Haghiri
Damien Garreau
U. V. Luxburg
116
25
0
18 Jun 2018
Balanced Random Survival Forests for Extremely Unbalanced, Right
  Censored Data
Balanced Random Survival Forests for Extremely Unbalanced, Right Censored Data
K. Afrin
Gurudev Illangovan
S. Srivatsa
Satish Bukkapatnam
11
11
0
24 Mar 2018
Tree based weighted learning for estimating individualized treatment
  rules with censored data
Tree based weighted learning for estimating individualized treatment rules with censored data
Yifan Cui
Ruoqing Zhu
Michael R. Kosorok
CML
65
47
0
30 Jul 2017
Consistency of survival tree and forest models: splitting bias and
  correction
Consistency of survival tree and forest models: splitting bias and correction
Yifan Cui
Ruoqing Zhu
Mai Zhou
Michael R. Kosorok
44
28
0
30 Jul 2017
ggRandomForests: Exploring Random Forest Survival
ggRandomForests: Exploring Random Forest Survival
John Ehrlinger
40
34
0
28 Dec 2016
Arbres CART et Forêts aléatoires, Importance et sélection de
  variables
Arbres CART et Forêts aléatoires, Importance et sélection de variables
Robin Genuer
Jean-Michel Poggi
153
10
0
26 Oct 2016
Generalized Random Forests
Generalized Random Forests
Susan Athey
J. Tibshirani
Stefan Wager
369
1,375
0
05 Oct 2016
Personalized Prognostic Models for Oncology: A Machine Learning Approach
Personalized Prognostic Models for Oncology: A Machine Learning Approach
D. Dooling
Angela Kim
B. McAneny
J. Webster
59
3
0
22 Jun 2016
Impact of subsampling and pruning on random forests
Impact of subsampling and pruning on random forests
Roxane Duroux
Erwan Scornet
64
13
0
14 Mar 2016
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
259
2,866
0
18 Nov 2015
Banzhaf Random Forests
Banzhaf Random Forests
Jianyuan Sun
G. Zhong
Junyu Dong
Yajuan Cai
40
2
0
22 Jul 2015
Random forests and kernel methods
Random forests and kernel methods
Erwan Scornet
215
229
0
12 Feb 2015
Differentially- and non-differentially-private random decision trees
Differentially- and non-differentially-private random decision trees
Mariusz Bojarski
A. Choromańska
K. Choromanski
Yann LeCun
92
31
0
26 Oct 2014
On the asymptotics of random forests
On the asymptotics of random forests
Erwan Scornet
76
89
0
07 Sep 2014
Understanding Random Forests: From Theory to Practice
Understanding Random Forests: From Theory to Practice
Gilles Louppe
136
749
0
28 Jul 2014
Consistency of random forests
Consistency of random forests
Erwan Scornet
Gérard Biau
Jean-Philippe Vert
204
520
0
12 May 2014
Narrowing the Gap: Random Forests In Theory and In Practice
Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil
David Matheson
Nando de Freitas
203
230
0
04 Oct 2013
Consistency of Online Random Forests
Consistency of Online Random Forests
Misha Denil
David Matheson
Nando de Freitas
86
89
0
20 Feb 2013
Support Vector Regression for Right Censored Data
Support Vector Regression for Right Censored Data
Y. Goldberg
Michael R. Kosorok
133
28
0
23 Feb 2012
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