Method home for gp-map-1
Gaussian processes for regression trained with a maximum-aposteriori approach
implemented with conjugate gradient optimization.
Source code for an implementation in C is available as a compressed tar file.
Directory listing of the results available for the
gp-map-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
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