Description Author(s) References
gpR is a Bayesian machine learning package using latent Gaussian processes. In general supervised machine learning can be divided in classification, where we describe data using discrete labels, and regression, where the labels are continuous.
Simon Dirmeier | simon.dirmeier@gmx.de
Rasmussen C.E. and Williams C.K.I. (2006), Gaussian Processes for Machine Learning, MIT Press
http://www.gaussianprocess.org/gpml/
Barber D. (2015), Bayesian Reasoning and Machine Learning, Cambridge University Press
http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.Online
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