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Properties and comparison of some Kriging sub-model aggregation methods
v1v2 (latest)

Properties and comparison of some Kriging sub-model aggregation methods

17 July 2017
François Bachoc
N. Durrande
D. Rullière
C. Chevalier
ArXiv (abs)PDFHTML

Papers citing "Properties and comparison of some Kriging sub-model aggregation methods"

5 / 5 papers shown
Title
Entry Dependent Expert Selection in Distributed Gaussian Processes Using
  Multilabel Classification
Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification
Hamed Jalali
Gjergji Kasneci
66
0
0
17 Nov 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent
  Federated Learning
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning
George P. Kontoudis
D. Stilwell
FedML
66
8
0
06 Mar 2022
Gaussian Experts Selection using Graphical Models
Gaussian Experts Selection using Graphical Models
Hamed Jalali
Martin Pawelczyk
Gjerji Kasneci
50
3
0
02 Feb 2021
Aggregating Dependent Gaussian Experts in Local Approximation
Aggregating Dependent Gaussian Experts in Local Approximation
Hamed Jalali
Gjergji Kasneci
60
4
0
17 Oct 2020
Nested Kriging predictions for datasets with large number of
  observations
Nested Kriging predictions for datasets with large number of observations
D. Rullière
N. Durrande
François Bachoc
C. Chevalier
79
67
0
19 Jul 2016
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