activity
20192022
most citedEnhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.LG2022

Mixture of Decision Trees for Interpretable Machine Learning

Simeon Brüggenjürgen, Nina Schaaf, Pascal Kerschke +1

This work introduces a novel interpretable machine learning method called Mixture of Decision Trees (MoDT). It constitutes a special case of the Mixture of Experts ensemble archite…