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Fréchet random forests for metric space valued regression with non
  euclidean predictors
v1v2v3 (latest)

Fréchet random forests for metric space valued regression with non euclidean predictors

4 June 2019
L. Capitaine
Jérémie Bigot
R. Thiébaut
Robin Genuer
ArXiv (abs)PDFHTML

Papers citing "Fréchet random forests for metric space valued regression with non euclidean predictors"

4 / 4 papers shown
Title
Mixed-Curvature Decision Trees and Random Forests
Mixed-Curvature Decision Trees and Random Forests
Philippe Chlenski
Quentin Chu
I. Pe’er
95
2
0
07 Jun 2024
Medoid splits for efficient random forests in metric spaces
Medoid splits for efficient random forests in metric spaces
Matthieu Bulté
Helle Sorensen
64
4
0
29 Jun 2023
Errors-in-variables Fréchet Regression with Low-rank Covariate
  Approximation
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Kyunghee Han
Dogyoon Song
54
0
0
16 May 2023
Random Forest Weighted Local Fr\échet Regression with Random Objects
Random Forest Weighted Local Fr\échet Regression with Random Objects
Rui Qiu
Zhou Yu
Ruoqing Zhu
185
5
0
10 Feb 2022
1