In the current algorithm, we generate hypotheses by only providing a set of "wrong examples".
An alternative approach: we can provide the existing hypotheses and all other information, so that the model can choose to modify the existing hypotheses or generating new ones without duplications.
In the current algorithm, we generate hypotheses by only providing a set of "wrong examples".
An alternative approach: we can provide the existing hypotheses and all other information, so that the model can choose to modify the existing hypotheses or generating new ones without duplications.