Open Access
Issue
EPJ Web Conf.
Volume 158, 2017
The XXIII International Workshop “High Energy Physics and Quantum Field Theory” (QFTHEP 2017)
Article Number 06008
Number of page(s) 9
Section Detectors and Data Processing for Future Experiments in High Energy Physics
DOI https://doi.org/10.1051/epjconf/201715806008
Published online 24 October 2017
  1. Search for anomalous Wtb couplings and flavour-changing neutral currents in t-channel single top quark production in pp collisions at sqrt(s)= 7 and 8 TeV. CMS Collaboration. Oct 11, 2016 - 40 pages JHEP 1702 (2017) 028
  2. Neal, R. M. (1994) Bayesian Learning for Neural Networks, Ph.D. Thesis, Dept. of Computer Science, University of Toronto, 195 pages
  3. Neal, R. M. (1992) “Bayesian training of backpropagation networks by the hybrid Monte Carlo method”, Technical Report CRG-TR-92-1, Dept. of Computer Science, University of Toronto, 21 pages
  4. Searching for Exotic Particles in High-Energy Physics with Deep Learning - Baldi, Pierre et al. Nature Commun. 5 (2014) 4308 arXiv:1402.4735 [hep-ph]
  5. http://www.cs.toronto.edu/∼radford/fbm.software.html
  6. https://www.tensorflow.org/
  7. https://keras.io/
  8. Dropout: A Simple Way to Prevent Neural Networks from Overfltting - Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky,Ilya Sutskever, Ruslan Salakhutdinov. Journal of Machine Learning Research 15 (2014) 1929-1958

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