SPIDER The Spider Objects
GPROC Gaussian-Process object A=GPROC(hyper) returns a GPROCobject initialized with hyperparameters hyper. minimize log-likelihood for length runs Hyperparameters, and their defaults child=kernel; -- the kernel is stored as a member called "child" length=50 -- default maximum length lines searches Model H -- covariance hyperparameters var -- predictive variances Methods: train, test
Reference : Gaussian Processes A Replacement for Supervised Neural Networks
Author : David J.C. MacKay
Link : http://citeseer.ist.psu.edu/mackay97gaussian.html