Problem
Such procedures are computationally expensive!
Computation of optimal parameters, per candidate, requires non-trivial optimization step
Spend non-negligible computation on a candidate, even if it is a low scoring one
In practice, such learning procedures are feasible only when we consider small sets of candidate structures