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stat.ML2023
Loss-Optimal Classification Trees: A Generalized Framework and the Logistic Case
Tommaso Aldinucci, Matteo Lapucci
The Classification Tree (CT) is one of the most common models in interpretable machine learning. Although such models are usually built with greedy strategies, in recent years, tha…
stat.ML2022
Contextual Decision Trees
Tommaso Aldinucci, Enrico Civitelli, Leonardo di Gangi +1
Focusing on Random Forests, we propose a multi-armed contextual bandit recommendation framework for feature-based selection of a single shallow tree of the learned ensemble. The tr…