Gaussian Process RegressionΒΆ

Gaussian process regression: draw the likelihood

Gaussian process regression: draw the likelihood

Gaussian Process Regression: propagate uncertainties

Gaussian Process Regression: propagate uncertainties

Gaussian Process Regression: multiple input dimensions

Gaussian Process Regression: multiple input dimensions

Gaussian Process Regression : cantilever beam model

Gaussian Process Regression : cantilever beam model

Multi-output Gaussian Process Regression on the fire satellite model

Multi-output Gaussian Process Regression on the fire satellite model

Gaussian Process Regression: choose an arbitrary trend

Gaussian Process Regression: choose an arbitrary trend

Gaussian Process Regression: choose a polynomial trend on the beam model

Gaussian Process Regression: choose a polynomial trend on the beam model

Gaussian Process Regression : generate trajectories from the metamodel

Gaussian Process Regression : generate trajectories from the metamodel

Gaussian Process Regression: Normalization for optimization

Gaussian Process Regression: Normalization for optimization

Gaussian Process Regression: use an isotropic covariance kernel

Gaussian Process Regression: use an isotropic covariance kernel

Gaussian Process Regression: metamodel of the Branin-Hoo function

Gaussian Process Regression: metamodel of the Branin-Hoo function

Gaussian Process Regression : quick-start

Gaussian Process Regression : quick-start

Sequentially adding new points to a Gaussian Process metamodel

Sequentially adding new points to a Gaussian Process metamodel

Gaussian process fitter: configure the optimization solver

Gaussian process fitter: configure the optimization solver

Gaussian Process-based active learning for reliability

Gaussian Process-based active learning for reliability

Advanced Gaussian process regression

Advanced Gaussian process regression

Kriging : draw covariance models

Kriging : draw covariance models

Gaussian Process Regression: choose a polynomial trend

Gaussian Process Regression: choose a polynomial trend

Gaussian Process Regression: surrogate model with continuous and categorical variables

Gaussian Process Regression: surrogate model with continuous and categorical variables