8289889263db4a40463e3f358bb7c7a1-AuthorFeedback.pdf

Thesemodels22 are very close to soft trees, to which we compare ourselves. In each case however, the models are enhanced with23 aneural network representation and suffer from alack of interpretability (one can even argue that these models are24 not tree modelsper se). The paper of Forsst & Hinton ([4]) considers aspecific variant of the soft tree model, with25 knowledge distillation. Combining both, as in PR-RF, reduces both bias and variance and leads to a method which significantly31 outperformsRF(Table5,AppendixA.4).32 Reviewer3.