Add to ORKGInternational audienceWe 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
In this talk, I will discuss machine learning tasks used in high energy physics. I will talk about s...
This report entails the detailed description of the approach and methodologies taken as part of comp...
The scientific success of the LHC experiments at CERN highly depends on the availability of computin...
International audienceWe first describe the HiggsML challenge (the problem of optimizing classifiers...
Proceedings to appear in Journal of Physics : Conference SeriesInternational audienceHigh Energy Phy...
On behalf of the ATLAS Collaboration - Proceedings of the 37 International Conference on High Energy...
High Energy Physics (HEP) has been using Machine Learning (ML) techniques such as boosted decision t...
In this talk we will survey some of the latest developments in machine learning research through the...
The Higgs Machine Learning Challenge was an open data analysis competition that took place between M...
International audienceThe Higgs boson discovery at the Large Hadron Collider in 2012 relied on boost...
International audienceThe Higgs Boson Machine Learning Challenge (HiggsML or the Challenge for short...
In these proceedings we perform a brief review of machine learning (ML) applications in theoretical ...
In this talk, I will discuss machine learning tasks used in high energy physics. I will talk about s...
This report entails the detailed description of the approach and methodologies taken as part of comp...
The scientific success of the LHC experiments at CERN highly depends on the availability of computin...
International audienceWe first describe the HiggsML challenge (the problem of optimizing classifiers...
Proceedings to appear in Journal of Physics : Conference SeriesInternational audienceHigh Energy Phy...
On behalf of the ATLAS Collaboration - Proceedings of the 37 International Conference on High Energy...
High Energy Physics (HEP) has been using Machine Learning (ML) techniques such as boosted decision t...
In this talk we will survey some of the latest developments in machine learning research through the...
The Higgs Machine Learning Challenge was an open data analysis competition that took place between M...
International audienceThe Higgs boson discovery at the Large Hadron Collider in 2012 relied on boost...
International audienceThe Higgs Boson Machine Learning Challenge (HiggsML or the Challenge for short...
In these proceedings we perform a brief review of machine learning (ML) applications in theoretical ...
In this talk, I will discuss machine learning tasks used in high energy physics. I will talk about s...
This report entails the detailed description of the approach and methodologies taken as part of comp...
The scientific success of the LHC experiments at CERN highly depends on the availability of computin...