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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

External links

Go to the Higgs Boson Machine Learning Challenge on Kaggle

http://higgsml.lal.in2p3.fr

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Disclaimer

The open data are released under the Creative Commons CC0 waiver. Neither ATLAS nor CERN endorse any works, scientific or otherwise, produced using these data. All releases will have a unique DOI that you are requested to cite in any applications or publications.

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