Revision as of 08:03, 6 May 2024 edit Dr Saves Paul (talk \| contribs) 33 edits m →Comparison table: add_smt_the_surrogate_modeling_toolbox ← Previous edit		Revision as of 08:14, 6 May 2024 edit undo Dr Saves Paul (talk \| contribs) 33 edits m Add citation Next edit →
Line 677: <ref name="sarkka2013">{{cite journal \|last1=Sarkka \|first1=Simo \|last2=Solin \|first2=Arno \|last3=Hartikainen \|first3=Jouni \|title=Spatiotemporal Learning via Infinite-Dimensional Bayesian Filtering and Smoothing: A Look at Gaussian Process Regression Through Kalman Filtering \|journal=IEEE Signal Processing Magazine \|date=2013 \|volume=30 \|issue=4 \|pages=51–61 \|doi=10.1109/MSP.2013.2246292 \|s2cid=7485363 \|url=https://ieeexplore.ieee.org/document/6530736 \|access-date=2 September 2021}}</ref> <ref name="saves2024">{{cite journal \|last1=Saves\|first1=Paul \|last2=Lafage\|first2=Rémi \|last3=Bartoli \|first3=Nathalie \|last4=Diouane \|first4= Youssef \|last5=Bussemaker \|first5= Jasper \|last6=Lefebvre \|first6= Thierry \|last7=Hwang \|first7= John T. \|last8= Morlier \|first8= Joseph \|last9= Martins \|first9= Joaquim R.R.A. \|title=SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes \|journal=Advances in Engineering Software \|date=2024 \|volume=188\|issue=1 \|pages=103571 \|doi=10.1016/j.advengsoft.2023.103571 \|url=https://www.sciencedirect.com/science/article/pii/S096599782300162X?via%3Dihub}}</ref> }}

Comparison of Gaussian process software: Difference between revisions