Gaussian process classification
= Gaussian process classification
{c}
<Gaussian process classification> links <latent variables> from a <Gaussian process> to class <probabilities>. A binary <probit regression> likelihood is $\prod_i\Phi((2y_i-1)f_i)$ under <conditional independence>. The <posterior distribution> of the latent values is not a <normal distribution>.