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Recently many LHC-affiliated organizations and otherwise announced the Higgs ML learning challenge (in May) running over the summer. There are many competing teams and significant results posted already.
Is this contest duplicating analysis that has been done inside LHC teams already, looking for better Higgs-related statistical classification than "in-house" algorithms? If so, what is known about the nature/performance of "in-house" algorithms? Is any of that published? Especially wondering how it compares with the same contest metric.
 Kaggle Higgs learning challenge
 Higgs ML challenge site
 Learning to discover: the Higgs boson machine learning challenge
The best solutions of the challenge are available in these papers:
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