Tianqi Chen & Carlos Guestrin (2016)
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 785-794.
DOI: https://doi.org/10.1145/2939672.2939785
Abstract. Presents XGBoost, a scalable gradient-boosted tree implementation with second-order gradient optimisation, sparsity-aware split finding, and system-level engineering that has made it the dominant algorithm on tabular competition data.
Tags: ensembles gradient-boosting xgboost
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