Feature Extraction in TMVA


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 analyses and applications. In the past years we have expanded TMVA’s capabilities to include various deep learning architectures: Fully-connected (DNN), Convolutional (CNN) and Recurrent (RNN) Neural Networks. TMVA currently has several filter and wrapper methods for feature extraction. The candidate will work in this area developing additional methods, completing some of the missing functionalities and integration with the deep learning modules

Task ideas and expected results


C++ skills, experience with large scale software development and machine learning tools is a plus.


Corresponding Project

Participating Organizations