Aug 3, 2024 · I'm having some trouble understanding Gaussian Process Regression (GPR) options in the Regression Learner App. There are three main choices for GPR models.

May 14, 2024 · I would like to train a machine learning (Gaussian Process Regression Model) to predict the output when the input variables are changed to other random values.

Jul 11, 2024 · I'm performing a hyper-parameter optimization of a Gaussian Process Regression (GPR), and I've noticed that it runs in about 30 seconds in the Regression ...

Sep 13, 2024 · This MATLAB function returns the predicted responses ypred for the Gaussian process regression (GPR) model gprMdl and the predictor values in Xnew.

Mar 11, 2024 · It seems like you are stuck in a performance bottleneck in your Gaussian Process Regression (GPR) models in MATLAB. The size of datasets along with the ...

Nov 20, 2023 · One possible way to define a kernel function is to use the squared exponential kernel, which is a popular choice for Gaussian process regression.

Sep 13, 2024 · This MATLAB function returns the mean squared error for the Gaussian process regression (GPR) model gprMdl, using the predictors in Xnew and observed ...

Nov 16, 2023 · When training a gpr model with multiple input sequences, we can directly use a matrix or a table to represent our input data.

May 22, 2024 · I have a question about using matlab's (maybe undocumented) function predictExactWithCov. I have found in this forum that if I have a RegressionGP gprmdl, set ...

Aug 11, 2024 · A Gaussian process regression (GPR) model is developed to predict the dryout incipience quality for flow boiling in mini / micro – channels based on a ...