Project Description

Toolkit for Multivariate Analysis (TMVA) is a multi-purpose machine learning toolkit integrated into the ROOT scientific software framework, used in many particle physics data analysis and applications. The following are also areas of interest with impactful applications to particle physics

Task ideas and expected results

• Unsupervised learning: deep auto-encoders, restricted boltzmann machines (RBMs)
• Deep learning: recurrent neural networks (RNNs), LTSM, complex-valued neural networks

Requirements

Strong C++ skills, good understanding of machine learning algorithms

Mentors

• Sergei Gleyzer
• Lorenzo Moneta
• Omar Zapata
• Stefan Wunsch
• Enrico Guiraud
• Enric Tejedor

Links

• http://root.cern
• http://root.cern/tmva
• TMVA source code

Corresponding Project

• TMVA

Participating Organizations

• CERN
• UdeA
• UFlorida
• QueenMary
• KIT

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