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20182020
most citedBreadth-first, Depth-next Training of Random Forests

4 citations · 6 across the 2 of their papers we have counts for

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cs.LG2018

Benchmarking and Optimization of Gradient Boosting Decision Tree Algorithms

Andreea Anghel, Nikolaos Papandreou, Thomas Parnell +2

Gradient boosting decision trees (GBDTs) have seen widespread adoption in academia, industry and competitive data science due to their state-of-the-art performance in many machine…