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Weighted lens depth: Some applications to supervised classification

Weighted lens depth: Some applications to supervised classification

22 November 2020
A. Cholaquidis
R. Fraiman
Fabrice Gamboa
L. Moreno
ArXiv (abs)PDFHTML

Papers citing "Weighted lens depth: Some applications to supervised classification"

5 / 5 papers shown
Title
Combining Statistical Depth and Fermat Distance for Uncertainty
  Quantification
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
Hai-Vy Nguyen
Fabrice Gamboa
Reda Chhaibi
Sixin Zhang
Serge Gratton
Thierry Giaccone
FedMLUQCV
56
0
0
12 Apr 2024
Measure of shape for object data
Measure of shape for object data
Joni Virta
153
0
0
18 Dec 2023
Conformal inference for regression on Riemannian Manifolds
Conformal inference for regression on Riemannian Manifolds
A. Cholaquidis
Fabrice Gamboa
L. Moreno
60
0
0
12 Oct 2023
Spatial depth for data in metric spaces
Spatial depth for data in metric spaces
Joni Virta
MDE
107
6
0
16 Jun 2023
Level sets of depth measures in abstract spaces
Level sets of depth measures in abstract spaces
A. Cholaquidis
R. Fraiman
L. Moreno
MDE
67
1
0
23 Nov 2020
1