The category probability distributions may be seen as meta-data that is used to train a meta-learner.
given n features A 1 , A 2 , ..., A n and m training instances I 1 , I 2 , ..., I m ,we may then randomly form l different training subsets S 1 , S 2 , ..., S l , with each S i containing a random subset of both attributes and training instances.