Deep Learning, Gaussian Process, Active Learning, Bayesian Optimization.
physically meaningful, and they can be frequently dominated by instrumental factors such as drift (in many cases, a domain expert has to separate physical variables from the unphysical ones, which defies the whole point of the automated experiment). Furthermore, decomposition requires the patches