ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS
https://doi.org/10.21686/2500-3925-2016-4-22-26
Abstract
About the Author
Victor V. KitovRussian Federation
PhD in Mathematics, mathematician;
docent;
docent
References
1. Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning. 2-e izd. – Stanford, USA: Springer, 2009.
2. Abbott D. Why ensembles win data mining competitions. // Predictive Analytics Centre of Excellence Tech Talks, University of California, San Diego. http://pace.sdsc.edu/sites/pace/files/PACE_Abbott_WhyModelEnsemblesWinDataMiningCompetitions_20121114.pdf / 2012.
3. Kitov V.V. Practical aspects of machine learning. // Open systems. SUBD. №1 / 2016. p. 14–17.
4. Chen T., Guestrin C. XGBoost: A Scalable Tree Boosting System. https://arxiv.org/abs/1603.02754. DOI: 10.1145/2939672.2939785.
5. Blaser R., Fryzlewicz P. Random Rotation Ensembles // Journal of Machine Learning Research №17 / 2016. p. 1–26.
6. Ozols M. How to generate a random unitary matrix. http://home.lu.lv/~sd20008/papers/essays/Random%20unitary%20[paper].pdf /2009.
Review
For citations:
Kitov V.V. ACCURACY ANALYSIS OF THE GRADIENT BOOSTING METHOD WITH RANDOM ROTATIONS. Statistics and Economics. 2016;(4):22-26. (In Russ.) https://doi.org/10.21686/2500-3925-2016-4-22-26