A missing value indicates that a particular attribute of an instance learning problem is not recorded. They are very common in many real-life datasets. In spite this, however, most machine methods cannot handle values. Thus, they should be imputed before training. Gaussian Processes (GPs) non-parametric models with accurate uncertainty estimates combined sparse approximations and stochastic var...