most citedCombining Predictions under Uncertainty: The Case of Random Decision Trees

2 citations · 2 across the 2 of their papers we have counts for

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2 papers

cs.LG2022★ 2 cited

Combining Predictions under Uncertainty: The Case of Random Decision Trees

Florian Busch, Moritz Kulessa, Eneldo Loza Mencía +1

A common approach to aggregate classification estimates in an ensemble of decision trees is to either use voting or to average the probabilities for each class. The latter takes un…

cs.LG2021

Tree-Based Dynamic Classifier Chains

Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender +1

Classifier chains are an effective technique for modeling label dependencies in multi-label classification. However, the method requires a fixed, static order of the labels. While…