Machine learning develops intelligent computer systems that are able to generalize
from previously seen examples. Traditionally, machine learning has mostly been
involved with generalizing decisions from examples, as in the case of classification,
or predicting a scalar number, as in the case of regression. Recent developments,
however, have approached a wider domain where the prediction has to satisfy
additional constraints, i.e., the output has structure