1. Chen, T., Guestrin, C.: XGBoost: reliable large-scale tree boosting system. In: Proceedings of the 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, 2015, pp. 13–17
2. Freund, Y., Schapire, R., Abe, N.: A short introduction to boosting. J. Jpn. Soc. Artif. Intell. 14(771–780), 1612 (1999)
3. Zhou, Z.-H.: Ensemble Methods: Foundations and Algorithms. CRC Press (2012)
4. Schapire, R.E.: Explaining Adaboost. In: Empirical Inference, pp. 37–52. Springer (2013)
5. Culp, M., Johnson, K., Michailidis, G.: ada: an r package for stochastic boosting. J. Stat. Softw. 17(2), 9 (2006)