Search Results for author: Geoffrey I Webb

Found 3 papers, 1 papers with code

Better Short than Greedy: Interpretable Models through Optimal Rule Boosting

1 code implementation21 Jan 2021 Mario Boley, Simon Teshuva, Pierre Le Bodic, Geoffrey I Webb

Rule ensembles are designed to provide a useful trade-off between predictive accuracy and model interpretability.

An Eager Splitting Strategy for Online Decision Trees

no code implementations20 Oct 2020 Chaitanya Manapragada, Heitor M Gomes, Mahsa Salehi, Albert Bifet, Geoffrey I Webb

In this work, we study in ensemble settings the effectiveness of replacing the split strategy for the state-of-the-art online tree learner, Hoeffding Tree, with a rigorous but more eager splitting strategy that we had previously published as Hoeffding AnyTime Tree.

Emergent and Unspecified Behaviors in Streaming Decision Trees

no code implementations16 Oct 2020 Chaitanya Manapragada, Geoffrey I Webb, Mahsa Salehi, Albert Bifet

Hoeffding trees are the state-of-the-art methods in decision tree learning for evolving data streams.

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