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In the GP lecture we have an example where we sample a discrete function with two possible input values.
As an example, we only show two different functions. However, we could sample more functions (let's say 100) for a "dense" covariance matrix to show the "distribution" of the sampled vectors / functions.
The text was updated successfully, but these errors were encountered:
In the GP lecture we have an example where we sample a discrete function with two possible input values.
As an example, we only show two different functions. However, we could sample more functions (let's say 100) for a "dense" covariance matrix to show the "distribution" of the sampled vectors / functions.
The text was updated successfully, but these errors were encountered: