16 citations · 21 across the 10 of their papers we have counts for
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cs.LG2020
Modeling Text with Decision Forests using Categorical-Set Splits
Mathieu Guillame-Bert, Sebastian Bruch, Petr Mitrichev +2
Decision forest algorithms typically model data by learning a binary tree structure recursively where every node splits the feature space into two sub-regions, sending examples int…
cs.LG2020★ 1 cited
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation
Sebastian Bruch, Jan Pfeifer, Mathieu Guillame-bert
Axis-aligned decision forests have long been the leading class of machine learning algorithms for modeling tabular data. In many applications of machine learning such as learning-t…