Parallel implementation of prediction algorithm in gradient boosting trees method
Автор: Druzhkov Pavel Nikolaevich, Zolotykh Nikolai Yurevich, Polovinkin Aleksey Nikolayevich
Рубрика: Программирование
Статья в выпуске: 37 (254), 2011 года.
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Several variations of parallel implementations of one of the supervised learning algorithms, Gradient Boosting Trees (GBT), with the use of Intel Threading Building Blocks are described. Results of experimental comparison and performance analysis of different approaches to parallelization are discussed.
Intel threading building blocks, gradient boosting trees
Короткий адрес: https://sciup.org/147159115
IDR: 147159115
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