28 citations · 147 across the 23 of their papers we have counts for
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stat.ML2016★ 16 cited
Pruning Random Forests for Prediction on a Budget
Feng Nan, Joseph Wang, Venkatesh Saligrama
We propose to prune a random forest (RF) for resource-constrained prediction. We first construct a RF and then prune it to optimize expected feature cost & accuracy. We pose prunin…
stat.ML2016★ 1 cited
Optimally Pruning Decision Tree Ensembles With Feature Cost
Feng Nan, Joseph Wang, Venkatesh Saligrama
We consider the problem of learning decision rules for prediction with feature budget constraint. In particular, we are interested in pruning an ensemble of decision trees to reduc…