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Provide a reference implementation of Moving Taylor Bayesian Regression, a method for nonparametric multi-dimensional function estimation with correlated errors from finite samples, as a Python package based on SciPy
Example-based Modeling (EMO) is an tool to create data models, with examples, using a web interface. You interactively create a web-accessible database of models and samples for those models. A white paper describes the underlying assumptions.
Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/