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Introduction to the HEPML Workshop and the HiggsML challenge

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.

Domains

Machine Learning [stat.ML] Optimization and Control [math.OC] Performance [cs.PF]

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https://hal.in2p3.fr/in2p3-01100982

Submitted on : Wednesday, January 7, 2015-3:11:26 PM

Last modification on : Friday, June 2, 2023-3:36:26 PM

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Dates and versions

in2p3-01100982 , version 1 (07-01-2015)

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  • HAL Id : in2p3-01100982 , version 1

Cite

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⟩

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