Geodesic
Parallel implementation of prediction algorithm in gradient boosting trees method
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 10 (2011), pp. 82-89

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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.
Keywords: gradient boosting trees, Intel Threading Building Blocks. 
@article{VYURU_2011_10_a8,
     author = {P. N. Druzhkov and N. Yu. Zolotykh and A. N. Polovinkin},
     title = {Parallel implementation of prediction algorithm in gradient boosting trees method},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a, Matemati\v{c}eskoe modelirovanie i programmirovanie},
     pages = {82--89},
     publisher = {mathdoc},
     number = {10},
     year = {2011},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VYURU_2011_10_a8/}
}
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P. N. Druzhkov; N. Yu. Zolotykh; A. N. Polovinkin. Parallel implementation of prediction algorithm in gradient boosting trees method. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, no. 10 (2011), pp. 82-89. http://geodesic.mathdoc.fr/item/VYURU_2011_10_a8/