Skip to Main content Skip to Navigation
Conference papers

Introduction to the HEPML Workshop and the HiggsML challenge

Balazs Kégl 1, 2, 3, 4 David Rousseau 2 Cécile Germain 3 Isabelle Guyon 4 Glen Cowan 5
1 AppStat
LAL - Laboratoire de l'Accélérateur Linéaire
2 LAL - Laboratoire de l'Accélérateur Linéaire
3 LRI - Laboratoire de Recherche en Informatique
4 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
5 RHUL - Royal Holloway [University of London]
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.
Document type :
Conference papers
Complete list of metadata
http://hal.in2p3.fr/in2p3-01100982
Contributor : Sabine Starita Connect in order to contact the contributor
Submitted on : Wednesday, January 7, 2015 - 3:11:26 PM
Last modification on : Thursday, July 8, 2021 - 3:50:30 AM

Identifiers

  • HAL Id : in2p3-01100982, version 1

Collections

IN2P3 | LAL | CNRS | INRIA | INSMI | UMR8623 | LRI-AO | TDS-MACS | GS-COMPUTER-SCIENCE | EC-PARIS

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Les métriques sont temporairement indisponibles