Only the leaf nodes of the prior's feature tree are considered, and, if no match can be found between the tuning and prior's training datasets' features, a N (0, 1) prior is used instead.
in the new approximate hierarchical model, even if a certain feature in the tuning dataset does not have an analog in the training dataset, we can always back-off until an appropriate match is found, even to the level of the root.