Speaker
Adrian Bevan
(University of London (GB))
Description
We review the concept of support vector machines before proceeding to discuss examples of their use in a number of scenarios. Using the Toolkit for Multivariate Analysis (TMVA) implementation we discuss examples relevant to HEP including background suppression for H->tau+tau- at the LHC. The use of several different kernel functions and performance benchmarking is discussed.
| Primary Keyword (Mandatory) | Algorithms |
|---|---|
| Secondary Keyword (Optional) | Analysis tools and techniques |
| Tertiary Keyword (Optional) | Artificial intelligence/Machine learning |
Primary author
Adrian Bevan
(University of London (GB))
Co-authors
Agni Bethani
(Centre National de la Recherche Scientifique (FR))
Jonathan Hays
(University of London (GB))
Thomas James Stevenson
(University of London (GB))
