Distributional encoding represents each level of a categorical input as the empirical distribution of the output at that level, and uses kernels between distributions inside a Gaussian process.
> 5 − 10%), use the standard distributional encoding (b) Otherwise, compute its second-order interaction with all quantitative inputs
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Distributional encoding for Gaussian process regression with qualitative inputs
Distributional encoding represents each level of a categorical input as the empirical distribution of the output at that level, and uses kernels between distributions inside a Gaussian process.