XGBoost (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "XGBoost" in English language version.

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arxiv.org

  • Chen, Tianqi; Guestrin, Carlos (2016). "XGBoost: A Scalable Tree Boosting System". In Krishnapuram, Balaji; Shah, Mohak; Smola, Alexander J.; Aggarwal, Charu C.; Shen, Dou; Rastogi, Rajeev (eds.). Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. ACM. pp. 785–794. arXiv:1603.02754. doi:10.1145/2939672.2939785. ISBN 9781450342322. S2CID 4650265.

dask.org

doi.org

  • Chen, Tianqi; Guestrin, Carlos (2016). "XGBoost: A Scalable Tree Boosting System". In Krishnapuram, Balaji; Shah, Mohak; Smola, Alexander J.; Aggarwal, Charu C.; Shen, Dou; Rastogi, Rajeev (eds.). Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. ACM. pp. 785–794. arXiv:1603.02754. doi:10.1145/2939672.2939785. ISBN 9781450342322. S2CID 4650265.

github.com

  • "Release 2.0.3". 19 December 2023. Retrieved 19 December 2023.
  • "GitHub project webpage". GitHub. June 2022. Archived from the original on 2021-04-01. Retrieved 2016-04-05.
  • "XGBoost - ML winning solutions (incomplete list)". GitHub. Archived from the original on 2017-08-24. Retrieved 2016-08-01.
  • "Rabit - Reliable Allreduce and Broadcast Interface". GitHub. Archived from the original on 2018-06-11. Retrieved 2016-08-01.
  • "XGBoost on FPGAs". GitHub. Archived from the original on 2020-09-13. Retrieved 2019-08-01.

ibm.com

in2p3.fr

higgsml.lal.in2p3.fr

julialang.org

pkg.julialang.org

medium.com

metacpan.org

python.org

pypi.python.org

r-project.org

cran.r-project.org

semanticscholar.org

api.semanticscholar.org

  • Chen, Tianqi; Guestrin, Carlos (2016). "XGBoost: A Scalable Tree Boosting System". In Krishnapuram, Balaji; Shah, Mohak; Smola, Alexander J.; Aggarwal, Charu C.; Shen, Dou; Rastogi, Rajeev (eds.). Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016. ACM. pp. 785–794. arXiv:1603.02754. doi:10.1145/2939672.2939785. ISBN 9781450342322. S2CID 4650265.

stat-computing.org

syncedreview.com

washington.edu

homes.cs.washington.edu

web.archive.org

xgboost.readthedocs.io