TMVA - Toolkit for Multivariate Data Analysis with ROOT: Users guide

Multivariate machine learning techniques for the classification of data from high-energy physics (HEP) experiments have become standard tools in most HEP analyses. The multivariate classifiers themselves have significantly evolved in recent years, also driven by developments in other areas inside an...

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Detalles Bibliográficos
Autores principales: Hocker, Andreas, Speckmayer, Peter, Stelzer, Jorg, Therhaag, Jan, von Toerne, Eckhard, Voss, Helge, Backes, Moritz, Carli, Tancredi, Cohen, Or, Christov, Asen, Dannheim, Domikik, Danielowski, Krzysztof, Henrot-Versille, S., Jachowski, M., Kraszewski, Kamil, Krasznahorkay, A., Jr., Kruk, Maciej, Mahalalel, Y., Ospanov, Rustem, Prudent, X., Robert, Arnaud, Schouten, Doug, Tegenfeldt, F., Voight, Alexander, Voss, K., Wolter, Marcin, Zemla, Andrzej
Lenguaje:eng
Publicado: 2007
Materias:
Detectors and Experimental Techniques
Other Fields of Physics
Acceso en línea:http://cds.cern.ch/record/1019880

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