Add to ORKGhttp://cran.stat.sfu.ca/web/packages/DiceKriging/DiceKriging.pdfEstimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.International audienceEstimation, validation and prediction of kriging models
Kriging-based optimization relying on noisy evaluations of complex systems has recently motivated co...
Abstract. Metamodelling decreases the computational effort of time-consuming computer simulations by...
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to appro...
http://cran.stat.sfu.ca/web/packages/DiceKriging/DiceKriging.pdfEstimation, validation and predictio...
We present two recently released R packages, DiceKriging and DiceOptim, for the approximation and th...
International audienceThis paper introduces two R packages available on the Comprehensive R Archive ...
This paper introduces two R packages available on the Comprehensive R Archive network. The main appl...
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Krigi...
International audienceKriging is a special type of optimal linear prediction applied to random funct...
Many scientific disciplines use mathematical models to describe complicated real systems. Often, ana...
International audienceKriging is a widely employed technique, in particular for computer experiments...
Our goal in the present work is to give an insight on some important questions to be asked when choo...
http://r2014-mtp.sciencesconf.org/conference/r2014-mtp/pages/roustant.pdfNational audienceLa thémati...
<div><p>Kriging is commonly used for developing emulators as surrogates for computationally intensiv...
Kriging-based optimization relying on noisy evaluations of complex systems has recently motivated co...
Abstract. Metamodelling decreases the computational effort of time-consuming computer simulations by...
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to appro...
http://cran.stat.sfu.ca/web/packages/DiceKriging/DiceKriging.pdfEstimation, validation and predictio...
We present two recently released R packages, DiceKriging and DiceOptim, for the approximation and th...
International audienceThis paper introduces two R packages available on the Comprehensive R Archive ...
This paper introduces two R packages available on the Comprehensive R Archive network. The main appl...
This article reviews Kriging (also called spatial correlation modeling). It presents the basic Krigi...
International audienceKriging is a special type of optimal linear prediction applied to random funct...
Many scientific disciplines use mathematical models to describe complicated real systems. Often, ana...
International audienceKriging is a widely employed technique, in particular for computer experiments...
Our goal in the present work is to give an insight on some important questions to be asked when choo...
http://r2014-mtp.sciencesconf.org/conference/r2014-mtp/pages/roustant.pdfNational audienceLa thémati...
<div><p>Kriging is commonly used for developing emulators as surrogates for computationally intensiv...
Kriging-based optimization relying on noisy evaluations of complex systems has recently motivated co...
Abstract. Metamodelling decreases the computational effort of time-consuming computer simulations by...
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to appro...