api_documentation: http://ros.org/doc/electric/api/gaussian_process/html
authors: Maintained by Juergen Sturm
brief: Gaussian Process regression (C++ library)
bugtracker: ''
depends:
- atlas
- libgsl
depends_on: []
description: "\n\nThis package provides an implementation of Gaussian Process regression.\
  \ It provides an easy interface to build a GP from input and output data. The GP\
  \ can then estimate the output at any given input location. Further, a gradient-descent\
  \ based optimization of the hyperparameter is available.\n\nThis library was implemented\
  \ by Christian Plagemann, J\xFCrgen Hess, Axel Rottmann and J\xFCrgen Sturm at the\
  \ Autonomous Intelligent Systems Lab. It contains code from Gunter Winkler and Konstantin\
  \ Kutzkow which implements a LU factorization for boost.\n\nMore details on Gaussian\
  \ Process regression can be found in the open-source book &quot;Gaussian Processes\
  \ for Machine Learning&quot;, written by Carl Edward Rasmussen and Chris Williams,\
  \ the MIT Press, 2006, available from http://www.gaussianprocess.org/gpml/chapters.\n\
  \n  "
doc_job: doc-electric-freiburg_tools
license: LGPL
maintainers: ''
metapackages:
- freiburg_tools
msgs: []
package_type: package
repo_name: freiburg_tools
repo_url: ''
srvs: []
timestamp: 1362484895.2133651
url: http://ros.org/wiki/gaussian_process
vcs: svn
vcs_uri: https://alufr-ros-pkg.googlecode.com/svn/trunk/freiburg_tools
vcs_version: null
