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cs.LG2025★ 1 cited
Interpretable Representation Learning for Additive Rule Ensembles
Shahrzad Behzadimanesh, Pierre Le Bodic, Geoffrey I. Webb +1
Small additive ensembles of symbolic rules offer interpretable prediction models. Traditionally, these ensembles use rule conditions based on conjunctions of simple threshold propo…
cs.LG2021
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting
Mario Boley, Simon Teshuva, Pierre Le Bodic +1
Rule ensembles are designed to provide a useful trade-off between predictive accuracy and model interpretability. However, the myopic and random search components of current rule e…