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Sparse Oblique Rule Boosting for Simpler 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…
Towards the Next-generation Bayesian Network Classifiers
Huan Zhang, Daokun Zhang, Kexin Meng +1
Bayesian network classifiers provide a feasible solution to tabular data classification, with a number of merits like high time and memory efficiency, and great explainability. How…
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…