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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...
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| Lenguaje: | eng |
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2016
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| Acceso en línea: | http://cds.cern.ch/record/2135801 |