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GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression

By Chiwoo Park, Jianhua Z. Huang, Yu Ding and Mikio Braun


This paper presents the Getting-started style documentation for the local and parallel computation toolbox for Gaussian process regression (GPLP), an open source software package written in Matlab (but also compatible with Octave). The working environment and the usage of the software package will be presented in this paper

Topics: Gaussian process regression, domain decomposition method, partial independent conditional, bagging for Gaussian
Year: 2014
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