Balázs Kégl
(LAL)
13/12/2014 08:45
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.
Kyle Cranmer
(New York University)
13/12/2014 09:20
I will review the ways that machine learning is typically used in particle physics,
some recent advancements, and future directions. In particular, I will
focus on the integration of machine learning and classical statistical procedures.
These considerations motivate a novel construction that is a hybrid of
machine learning algorithms and more traditional likelihood methods.
