SPRACE ML-Physics Meeting

America/Sao_Paulo
    • 13:00 14:00
      Slides and Discussion 1h
      Speakers: Alexandre Alves (Universidade Federal de São Paulo / UNIFESP), Jose Cupertino Ruiz Vargas (UNESP - Universidade Estadual Paulista (BR)), Marco André Ferreira Dias (IFT-UNESP), Raphael Cóbe, Thiago Tomei Fernandez (UNESP - Universidade Estadual Paulista (BR)), Vitor Finotti Ferreira (UNESP - Universidade Estadual Paulista (BR))

      Rafael's presentation - basic neural network (625 -> 256 -> 256 -> 2)

      Suggestions for next steps

      1. Improve the neural network architecture 
      2. Test other models of neural networks (like a convolution network)
      3. Do cross-validation

      Thiago suggestions:

      • Run the basic network for different pT ranges
      • Check out how to visualize the network (whatever that means)

      Jose's presentation - Random Forest Classification

      • Is there any way to tune the classifier to sit "at a given point of the ROC curve"?

      Other comments:

      • Let us try to implement a FLD, to follow on the paper
      • Thiago has to implement the tau21 classifier