3 papers
cs.LG2020
Emergent and Unspecified Behaviors in Streaming Decision Trees
Chaitanya Manapragada, Geoffrey I Webb, Mahsa Salehi +1
Hoeffding trees are the state-of-the-art methods in decision tree learning for evolving data streams. These very fast decision trees are used in many real applications where data i…
cs.LG2020
An Eager Splitting Strategy for Online Decision Trees
Chaitanya Manapragada, Heitor M Gomes, Mahsa Salehi +2
Decision tree ensembles are widely used in practice. In this work, we study in ensemble settings the effectiveness of replacing the split strategy for the state-of-the-art online t…
cs.LG2018
Extremely Fast Decision Tree
Chaitanya Manapragada, Geoff Webb, Mahsa Salehi
We introduce a novel incremental decision tree learning algorithm, Hoeffding Anytime Tree, that is statistically more efficient than the current state-of-the-art, Hoeffding Tree. W…