An additional attractive feature of ADTrees, one that is not possible with
conventional boosting procedures, is their ability to be merged together. This is
a particularly useful attribute in the context of multiclass problems as they are
often re-formulated in the two-class setting using one or more classes against the
others. In such a setting ADTrees can be combined into a single classifier.