ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1303.2236
  4. Cited By
COBRA: A Combined Regression Strategy
v1v2v3v4 (latest)

COBRA: A Combined Regression Strategy

9 March 2013
Gérard Biau
A. Fischer
Benjamin Guedj
J. Malley
ArXiv (abs)PDFHTML

Papers citing "COBRA: A Combined Regression Strategy"

19 / 19 papers shown
Title
Model-independent variable selection via the rule-based variable
  priority
Model-independent variable selection via the rule-based variable priority
Min Lu
H. Ishwaran
114
1
0
13 Sep 2024
Some variation of COBRA in sequential learning setup
Some variation of COBRA in sequential learning setup
Aryan Bhambu
A. K. Dey
AI4TS
73
0
0
07 Apr 2024
GROS: A General Robust Aggregation Strategy
GROS: A General Robust Aggregation Strategy
A. Cholaquidis
Emilien Joly
L. Moreno
73
2
0
23 Feb 2024
Gradient COBRA: A kernel-based consensual aggregation for regression
Gradient COBRA: A kernel-based consensual aggregation for regression
S. Has
70
2
0
02 Oct 2023
Controlling Travel Path of Original Cobra
Controlling Travel Path of Original Cobra
Mriganka Basu RoyChowdhury
A. K. Dey
59
0
0
15 Oct 2022
Concordance based Survival Cobra with regression type weak learners
Concordance based Survival Cobra with regression type weak learners
Rahul Goswami
A. K. Dey
67
2
0
24 Sep 2022
Consensual Aggregation on Random Projected High-dimensional Features for
  Regression
Consensual Aggregation on Random Projected High-dimensional Features for Regression
S. Has
47
1
0
06 Apr 2022
Kernel-Based Ensemble Learning in Python
Kernel-Based Ensemble Learning in Python
Benjamin Guedj
Bhargav Srinivasa Desikan
OOD
42
7
0
17 Dec 2019
A clusterwise supervised learning procedure based on aggregation of
  distances
A clusterwise supervised learning procedure based on aggregation of distances
A. Fisher
Mathilde Mougeot
S. Has
FedML
38
0
0
20 Sep 2019
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust
  aggregation of classifiers
SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
Mahmoud Albardan
John Klein
O. Colot
129
5
0
18 Aug 2019
Non-linear aggregation of filters to improve image denoising
Non-linear aggregation of filters to improve image denoising
Benjamin Guedj
Juliette Rengot
35
5
0
01 Apr 2019
A combined strategy for multivariate density estimation
A combined strategy for multivariate density estimation
A. Cholaquidis
R. Fraiman
B. Ghattas
Juan Kalemkerian
53
1
0
11 Dec 2018
Proximal boosting: aggregating weak learners to minimize
  non-differentiable losses
Proximal boosting: aggregating weak learners to minimize non-differentiable losses
Erwan Fouillen
C. Boyer
Maxime Sangnier
FedML
147
3
0
29 Aug 2018
Aggregation using input-output trade-off
Aggregation using input-output trade-off
A. Fischer
Mathilde Mougeot
36
13
0
08 Mar 2018
Accelerated Gradient Boosting
Accelerated Gradient Boosting
Gérard Biau
B. Cadre
L. Rouviere
130
115
0
06 Mar 2018
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Benjamin Guedj
Bhargav Srinivasa Desikan
75
20
0
25 Apr 2017
A nonlinear aggregation type classifier
A nonlinear aggregation type classifier
A. Cholaquidis
R. Fraiman
Juan Kalemkerian
Pamela Llop
119
9
0
04 Sep 2015
An optimal aggregation type classifier
An optimal aggregation type classifier
A. Cholaquidis
R. Fraiman
Juan Kalemkerian
Pamela Llop
57
1
0
11 Nov 2014
Searching for the core variables in principal components analysis
Searching for the core variables in principal components analysis
Y. Gimenez
G. Giussani
CML
142
7
0
29 Aug 2013
1