599 citations · 862 across the 35 of their papers we have counts for
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stat.ML2016
Neural Random Forests
Gérard Biau, Erwan Scornet, Johannes Welbl
Given an ensemble of randomized regression trees, it is possible to restructure them as a collection of multilayered neural networks with particular connection weights. Following t…
math.ST2016★ 8 cited
Impact of subsampling and pruning on random forests
Roxane Duroux, Erwan Scornet
Random forests are ensemble learning methods introduced by Breiman (2001) that operate by averaging several decision trees built on a randomly selected subspace of the data set. De…