Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest

30 March 2021

Papers citing "Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest"

12 / 12 papers shown

Title
When do Random Forests work? C. Revelas O. Boldea B. J. M. Werker 82 0 0 17 Apr 2025
Global Censored Quantile Random Forest Siyu Zhou Limin Peng 43 0 0 16 Oct 2024
Alpha-Trimming: Locally Adaptive Tree Pruning for Random Forests Nikola Surjanovic A. Henrey Thomas M. Loughin 39 0 0 13 Aug 2024
When does Subagging Work? Christos Revelas O. Boldea B. Werker 51 1 0 02 Apr 2024
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI Vladimir Zaigrajew Hubert Baniecki Lukasz Tulczyjew Agata M. Wijata J. Nalepa Nicolas Longépé P. Biecek 61 1 0 12 Mar 2024
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests Brian Liu Rahul Mazumder 137 1 0 20 Feb 2024
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers Alicia Curth Alan Jeffares M. Schaar UQCV 89 13 0 02 Feb 2024
Combining Predictions under Uncertainty: The Case of Random Decision Trees Florian Busch Moritz Kulessa E. Mencía Hendrik Blockeel UD UQCV 122 1 0 15 Aug 2022
Is interpolation benign for random forest regression? Ludovic Arnould Claire Boyer Erwan Scornet 81 6 0 08 Feb 2022
WildWood: a new Random Forest algorithm Stéphane Gaïffas Ibrahim Merad Yiyang Yu 57 7 0 16 Sep 2021
Large Scale Prediction with Decision Trees Jason M. Klusowski Peter M. Tian 68 46 0 28 Apr 2021
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance L. Mentch Siyu Zhou 102 14 0 07 Mar 2020