Projects
Reading
People
Chat
SU\G
(𝔸)
/K·U
Projects
Reading
People
Chat
Sign Up
Light
Dark
System
Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness.
Yiming Li
,
Jiawang Bai
,
Qingtao Tang
,
Yong Jiang
,
Chun Li
,
Shu‐Tao Xia
Type:
Preprint
Publication Date:
2019-03-10
Citations:
1
View Publication
Share
Locations
arXiv (Cornell University) -
View
Similar Works
Action
Title
Year
Authors
+
Data-driven multinomial random forest: A new random forest variant with strong consistency
2022
Junhao Chen
+
PDF
Chat
Heterogeneous Random Forest
2024
Y. Kim
S. Kim
Hyunjoong Kim
+
Consistency of random forests
2015
Erwan Scornet
Gérard Biau
Jean‐Philippe Vert
+
Understanding Random Forests: From Theory to Practice
2014
Gilles Louppe
+
Understanding Random Forests: From Theory to Practice
2014
Gilles Louppe
+
Data-driven multinomial random forest
2023
Junhao Chen
Xueli wang
+
Two-stage Best-scored Random Forest for Large-scale Regression
2019
Hanyuan Hang
Yingyi Chen
Johan A. K. Suykens
+
PDF
Chat
A survey and taxonomy of methods interpreting random forest models
2024
Maissae Haddouchi
Abdelaziz Berrado
+
Improving the Accuracy and Interpretability of Random Forests via Forest Pruning
2024
Albert Dorador
+
Optimal Weighted Random Forests
2023
Xinyu Chen
Dalei Yu
Xinyu Zhang
+
Random Forest and Ensemble Methods
2020
George Stavropoulos
Robert van Voorstenbosch
Frederik‐Jan van Schooten
Agnieszka Smolinska
+
Best-scored Random Forest Classification
2019
Hanyuan Hang
Xiaoyu Liu
Ingo Steinwart
+
Machine Learning Benchmarks and Random Forest Regression
2004
Mark R. Segal
+
PDF
Chat
Exogenous Randomness Empowering Random Forests
2024
Tianxing Mei
Yingying Fan
Jinchi Lv
+
Generalizing Random Forests Principles to other Methods: Random MultiNomial Logit, Random Naive Bayes, …
2008
Anita Prinzie
Dirk Van den Poel
+
PDF
Chat
Analysis of a Random Forests Model
2010
Gérard Biau
+
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods
2022
Abhineet Agarwal
Yan Shuo Tan
Omer Ronen
Chandan Singh
Bin Yu
+
Randomer Forests
2015
Tyler M. Tomita
Mauro Maggioni
Joshua T Vogelstein
+
A Numerical Transform of Random Forest Regressors corrects Systematically-Biased Predictions.
2020
Shipra Malhotra
John Karanicolas
+
Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests.
2021
Burim Ramosaj
Works That Cite This (0)
Action
Title
Year
Authors
Works Cited by This (7)
Action
Title
Year
Authors
+
A Distribution-Free Theory of Nonparametric Regression
2002
László Györfi
Michael Köhler
Adam Krzyżak
Harro Walk
+
Statistical Comparisons of Classifiers over Multiple Data Sets
2006
Janez Demšar
+
Quantile Regression Forests
2006
Nicolai Meinshausen
+
Random Forests and Adaptive Nearest Neighbors
2006
Yi Lin
Yongho Jeon
+
PDF
Chat
Analysis of a Random Forests Model
2010
Gérard Biau
+
Consistency of Online Random Forests
2013
Misha Denil
David S. Matheson
Nando de Freitas
+
Random Forests for Metric Learning with Implicit Pairwise Position Dependence
2012
Caiming Xiong
David Johnson
Ran Xu
Jason J. Corso