Cargando…
I - Multivariate Classification and Machine Learning in HEP
<!--HTML-->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 regulari...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2135801 |
_version_ | 1780949947405828096 |
---|---|
author | KECK, Thomas |
author_facet | KECK, Thomas |
author_sort | KECK, Thomas |
collection | CERN |
description | <!--HTML-->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.
|
id | cern-2135801 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
record_format | invenio |
spelling | cern-21358012022-11-02T22:32:26Zhttp://cds.cern.ch/record/2135801engKECK, ThomasI - Multivariate Classification and Machine Learning in HEPinverted CERN School of Computing 2016inverted CSC<!--HTML-->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. oai:cds.cern.ch:21358012016 |
spellingShingle | inverted CSC KECK, Thomas I - Multivariate Classification and Machine Learning in HEP |
title | I - Multivariate Classification and Machine Learning in HEP |
title_full | I - Multivariate Classification and Machine Learning in HEP |
title_fullStr | I - Multivariate Classification and Machine Learning in HEP |
title_full_unstemmed | I - Multivariate Classification and Machine Learning in HEP |
title_short | I - Multivariate Classification and Machine Learning in HEP |
title_sort | i - multivariate classification and machine learning in hep |
topic | inverted CSC |
url | http://cds.cern.ch/record/2135801 |
work_keys_str_mv | AT keckthomas imultivariateclassificationandmachinelearninginhep AT keckthomas invertedcernschoolofcomputing2016 |