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@@ -3225,3 +3225,53 @@ Eprint = {arXiv:1902.04070},
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reportNumber = "CMS-DP-2017-005",
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url = "http://cds.cern.ch/record/2255736",
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}
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+
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+@article{1007.2221,
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+Author = {Keith Rehermann and Brock Tweedie},
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+Title = {Efficient Identification of Boosted Semileptonic Top Quarks at the LHC},
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+Year = {2010},
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+Eprint = {arXiv:1007.2221},
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+Howpublished = {JHEP 1103:059,2011},
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+Doi = {10.1007/JHEP03(2011)059},
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+}
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+
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+@article{iso_tuning,
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+ Author = {{RA5 Group}},
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+ Title = {Search for {SUSY} in same-sign dilepton events at 13 {TeV}},
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+ Year = {2016},
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+ Howpublished = {CMS Physics Analysis Note},
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+ Url = {http://cms.cern.ch/iCMS/jsp/openfile.jsp?tp=draft&files=AN2015_031_v10.pdf},
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+ Volume = {\href{http://cms.cern.ch/iCMS/jsp/openfile.jsp?tp=draft&files=AN2015_031_v10.pdf}{AN-2015/031}},
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+}
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+
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+@article{Antcheva2009,
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+ doi = {10.1016/j.cpc.2009.08.005},
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+ url = {https://doi.org/10.1016/j.cpc.2009.08.005},
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+ year = {2009},
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+ month = dec,
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+ publisher = {Elsevier {BV}},
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+ volume = {180},
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+ number = {12},
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+ pages = {2499--2512},
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+ author = {I. Antcheva and M. Ballintijn and B. Bellenot and M. Biskup and R. Brun and N. Buncic and Ph. Canal and D. Casadei and O. Couet and V. Fine and L. Franco and G. Ganis and A. Gheata and D. Gonzalez Maline and M. Goto and J. Iwaszkiewicz and A. Kreshuk and D. Marcos Segura and R. Maunder and L. Moneta and A. Naumann and E. Offermann and V. Onuchin and S. Panacek and F. Rademakers and P. Russo and M. Tadel},
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+ title = {{ROOT} - A C++ framework for petabyte data storage, statistical analysis and visualization},
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+ journal = {Computer Physics Communications}
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+}
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+
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+@inproceedings{Chen:2016:XST:2939672.2939785,
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+ author = {Chen, Tianqi and Guestrin, Carlos},
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+ title = {XGBoost: A Scalable Tree Boosting System},
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+ booktitle = {Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
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+ series = {KDD '16},
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+ year = {2016},
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+ isbn = {978-1-4503-4232-2},
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+ location = {San Francisco, California, USA},
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+ pages = {785--794},
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+ numpages = {10},
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+ url = {http://doi.acm.org/10.1145/2939672.2939785},
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+ doi = {10.1145/2939672.2939785},
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+ acmid = {2939785},
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+ publisher = {ACM},
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+ address = {New York, NY, USA},
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+ keywords = {large-scale machine learning},
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+}
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