Learning algorithm that interactively presents labelling data to a user, so that the training process can be optimised by limiting it to selected entities.

ETSI GR ENI 004 learning algorithm that can query a user interactively to label data with the desired outputs

NOTE: The algorithm proactively selects the subset of examples to be labelled next from the pool of unlabelled data. The idea is that an ML algorithm could potentially reach a higher level of accuracy while using a smaller number of training labels if it were allowed to choose the data it wants to learn from.