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The Higgs boson: A Machine Learning Challenge

All MLers are welcome to participate !


The Higgs boson Machine Learning challenge (Higgs ML) has opened on May 20, 2014.
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Goal: filtering ATLAS-CERN simulated data to support analysis of more significant events. No background in particle physics required.

Deadline: Sept. 15th, 2014.

Awards: monetary prizes and invitation to CERN to discuss the most interesting methods with high-energy physicists.

Organizers: physicists and MLers from Atlas, Cern; Université Paris-Sud - CNRS - INRIA (LAL, LRI); Royal University College; and Chalearn.
This is the first time ever that Atlas-CERN releases some of its data.

To learn more about the both the ML formalization and the physics context, the documentation .

They write, blog and tweet about the challenge

  • General audience
In Wired and USANews
  • CERN
In CERN news , see also the tweet and Phys.org
  • ML community
Yan LeCun? on Facebook and
  • Physics blogs
From two most influential bloggers in the High Energy Physics community: ATLAS Challenges You: Can You Discover The Higgs ? and ATLAS: find Higgs, win $7k . The competition is fierce within HEP too.
See also Phys.org
  • French institutions
INS2I , DigiCosme , CapDigital
  • In many languages
Dutch , Italian


Contributors to this page: cecile and sebag .
Page last modified on Wednesday 28 of May, 2014 09:17:54 CEST by cecile.