Model-based Design for Gaussian Process

An introduction on model-free design methods

September 7, 2021

When the response surface is unknown, how do we conduct a model-free and space-filling design? Here we introduce one-batch approaches (maximum entropy design and minimum predictive uncertainty) and sequential approaches (active learning MacKay and active learning Cohn).

Posted on:
September 7, 2021
Length:
1 minute read, 37 words
Categories:
experiment design nonparametric
See Also: