Adaptively Pruning Features for Boosted Decision Trees

Maryam Aziz, Jesse Anderton, Javed Aslam

Boosted decision trees enjoy popularity in a variety of applications; however, for large-scale datasets, the cost of training a decision tree in each round can be prohibitively exp…