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Found 2 papers, 2 papers with code
Laplace approximation for logistic Gaussian process density estimation and regression
Logistic Gaussian process (LGP) priors provide a flexible alternative for modelling unknown densities.
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
The prior over functions is defined implicitly by the mean and covariance function, which determine the smoothness and variability of the function.
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