LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : We first describe the HiggsML challenge (the problem of optimizing classifiers for discovery significance, the setup of the challenge, the results, and some analysis of the outcome). In the second part we outline some of the application themes of machine learning in high-energy physics.
Type de document :
Communication dans un congrès
HEPML workshop at NIPS14 - Neural Information Processing Systems Conference, Dec 2014, Montreal, Canada
http://hal.in2p3.fr/in2p3-01100982
Contributeur : Sabine Starita
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Soumis le : mercredi 7 janvier 2015 - 15:11:26
Dernière modification le : jeudi 5 avril 2018 - 12:30:12
Balazs Kégl, David Rousseau, Cécile Germain, Isabelle Guyon, Glen Cowan. Introduction to the HEPML Workshop and the HiggsML challenge. HEPML workshop at NIPS14 - Neural Information Processing Systems Conference, Dec 2014, Montreal, Canada. 〈in2p3-01100982〉
