Toolkit for Multivariate Data Analysis (TMVA), integrated into the ROOT framework hosts a variety of machine classification methods which have become essential to extract a maximum of the available information from the data in high energy physics. This project aims to provide support for feature engineering in TMVA toolkit by creating new features from the existing feature set based on some basic operations with the goal of finding higher-performing features.

Organization

Student

Abhinav Moudgil

Mentors

  • Sergei Gleyzer
  • Omar Zapata
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2016