February 29, 2016 to March 2, 2016
CERN
Europe/Zurich timezone
There is a live webcast for this event.

I - Multivariate Classification and Machine Learning in HEP

Feb 29, 2016, 2:45 PM
1h
31/3-004 - IT Amphitheatre (CERN)

31/3-004 - IT Amphitheatre

CERN

31/3-004
105
Show room on map

Speaker

Thomas Keck (KIT)

Description

Traditional multivariate methods for classification (Stochastic Gradient Boosted Decision Trees and Multi-Layer Perceptrons) are explained in theory and practise using examples from HEP. General aspects of multivariate classification are discussed, in particular different regularisation techniques. Afterwards, data-driven techniques are introduced and compared to MC-based methods.

Presentation materials