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)