Method home for gp-mc-1

Gaussian processes for regression trained using a fully Bayesian approach using an MCMC implementation.


Source code for an implementation in C is available as a compressed tar file.


Directory listing of the results available for the gp-mc-1 method. Put the desired files in the appropriate methods directory in your delve hierarchy and uncompress them with using the "gunzip *.gz" command and untar them using "tar -xvf *.tar".

Related References

The Gaussian Process method is decribed in: Chris K. I. William and Carl Edward Rasmussen "Gaussian Processes for Regression", Advances in Neural Information Processing Systems 8, eds. D. S. Touretzky, M. C. Mozer, M. E. Hasselmo, MIT Press, 1996.

Last Updated by Carl Edward Rasmussen, October 16, 1996