Online update coeffs. for regression with positive exponential noise.
[loglik,K1,K2] = c_reg_exp(likpar,y,mx,varx);
[loglik,K1,K2] = c_reg_exp(likpar,y,mx,varx) - returns the coefficients
for the online update of the GP regression with single-sided noise.
Parameters:
likpar - the noise parameter (lambda=net.likpar).
y- observed noisy output.
mx- mean of the GP marginal at the new input.
varx- the variance of the GP marginal at the new input.
loglik- the logarithm of the averaged likelihood function.
K1,K2 - the first and second derivatives of loglik.
The likelihood function is
P(y|x,lambda) = exp(-(x-y)/lambda)/lambda;
for values of x and y that satisfy y>x
(see matlab code for details).
ogp, ogptrain, ogpfwd, err_abs
Copyright (c) Lehel Csató (2001-2004)