Oct 10 – 14, 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

Support Vector Machines in HEP

Oct 13, 2016, 3:30 PM
1h 15m
San Francisco Marriott Marquis

San Francisco Marriott Marquis

Poster Track 5: Software Development Posters B / Break


Adrian Bevan (University of London (GB))


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))


Agni Bethani (Centre National de la Recherche Scientifique (FR)) Jonathan Hays (University of London (GB)) Thomas James Stevenson (University of London (GB))

Presentation materials