Learning to discover: the Higgs boson machine learning challenge - Documentation
Adam-Bourdarios, Claire
(
Orsay, LAL
;
Paris, IN2P3
;
Orsay
)
;
Cowan, Glen
(
Royal Holloway, U. of London
)
;
Germain, Cecile
(
INRIA, Saclay
;
LRI, Paris 11
;
Orsay
)
;
Guyon, Isabelle
(
ChaLearn
)
;
Kégl, Balázs
(
Orsay, LAL
;
Paris, IN2P3
;
Orsay
)
;
Rousseau, David
(
Orsay, LAL
;
Paris, IN2P3
;
Orsay
)
Cite as: Adam-Bourdarios, Claire; Cowan, Glen; Germain, Cecile; Guyon, Isabelle; Kégl, Balázs; Rousseau, David; (2014). Learning to discover: the Higgs boson machine learning challenge - Documentation. CERN Open Data Portal. DOI:10.7483/OPENDATA.ATLAS.MQ5J.GHXA
Documentation Activities ATLAS CERN-LHC
Description
A documentation for the Challenge is provided, with just the sufficient level of explanation for people without any background in physics or machine learning.
Use with
The data described in this documentation is available at
Go to the Higgs Machine Learning data
Files and indexes
Disclaimer
These open data are released under the Creative Commons Zero v1.0 Universal license.
Neither the experiment(s) ( ATLAS ) nor CERN endorse any works, scientific or otherwise, produced using these data.
This release has a unique DOI that you are requested to cite in any applications or publications.
