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JMLR 2012

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

Journal Article Articles Artificial Intelligence ยท Machine Learning

Abstract

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. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2012. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
129277369421752195
v2026.09.13