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core_functions
gpml-matlab
.DS_Store
README.md
demo_fitting.m
demo_prediction.m

README.md

Take a look at demo_fitting.m and demo_prediction.m, for examples.

The core functions for running the Bayesian Laplace propagation algorithm over the class of models specified in the article are within the core_functions folder. We also use a toolbox for initializing the time scale of the GP kernel, that is in the folder gpml_matlab by Carl Rasmussen and Chris Williams, http://www.gaussianprocess.org/gpml/code/matlab/doc/.