Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 06011
Number of page(s) 4
Section T6 - Machine learning & analysis
DOI https://doi.org/10.1051/epjconf/201921406011
Published online 17 September 2019
  1. LHCb collaboration, LHCb detector performance, Int. J. Mod. Phys. V30 (2015) 153–22. [Google Scholar]
  2. F. Chollet, Keras, https://github.com/fchollet/keras (2015). [Google Scholar]
  3. A.-V. Dorogush, A. Gulin, G. Gusev, N. Kazeev, L. Ostroumova Prokhorenkova, A. Vorobev, Fighting biases with dynamic boosting (2017) arXiv:1706.09516. [Google Scholar]
  4. A. Rogozhnikov, A. Bukva, V. Gligorov, A. Ustyuzhanin, M. WilliamsNew, New approaches for boosting to uniformity Journal of Instrumentation, V10 N03 (2015) 03–2 [Google Scholar]
  5. M. Calvo, E. Cogneras, O. Deschamps, M. Hoballah A tool for γ π0 separation at high energies LHCb-PUB-2015-016 (2015) [Google Scholar]

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