ملف الباحث
Alessandro De Palma
ورقة واحدة في مجموعة PaperMetrix
المنشورات
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Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms
2018 · arXiv (Cornell University)
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 learning tasks. One relative downside to these models is the large …