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Abstract: This document introduces basics in data preparation, feature selection andlearning basics for high energy physics tasks. The emphasis is on featureselection by principal component analysis, information gain and significancemeasures for features. As examples for basic statistical learning algorithms,the maximum a posteriori and maximum likelihood classifiers are shown.Furthermore, a simple rule based classification as a means for automated cutfinding is introduced. Finally two toolboxes for the application of statisticallearning techniques are introduced.



Autor: Anselm Vossen

Fuente: https://arxiv.org/



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