with weights w on which we place a Gaussian prior and τ the map associated with the kernel k(x, x ) used in the GP. In the weight space view, GP inference models the posterior distribution over weights w in eqn. . In the function space view, GP inference models the posterior distribution over the space of functions represented in eqn. . Though eqn.