Andreas Hocker
CERN
10 Papers
21 Citations
Andreas Hocker is an academic researcher from CERN. The author has contributed to research in topics: Computer science & Alternating decision tree. The author has an hindex of 7, co-authored 10 publications.
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Papers
TMVA - Toolkit for Multivariate Data Analysis
Andreas Hocker,P. Speckmayer,J. Stelzer,F. Tegenfeldt,H. Voss,K. Voss,A. Christov,Sophie Henrot-Versille,M. Jachowski,Attila Krasznahorkay,Y. Mahalalel,Rustem Ospanov,X. Prudent,Marcin Wladyslaw Wolter,Andrzej Zemla +14 more
- 28 Jun 2007
TL;DR: TMVA as mentioned in this paper is a toolkit that hosts a large variety of multivariate classification algorithms, ranging from rectangular cut optimization using a genetic algorithm and from one-dimensional likelihood estimators, over linear and nonlinear discriminants and neural networks, to sophisticated more recent classifiers such as a support vector machine, boosted decision trees and rule ensemble fitting.
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TMVA, the Toolkit for Multivariate Data Analysis with ROOT
H. Voss,Andreas Hocker,J. Stelzer,F. Tegenfeldt +3 more
- 27 Jul 2009
TL;DR: TMVA as discussed by the authors is a toolkit integrated in the ROOT framework which implements a large variety of multivariate classification algorithms ranging from simple rectangular cut optimisation and likelihood estimators, over linear and non-linear discriminants to more recent developments like boosted decision trees, rule fitting and support vector machines.
The toolkit for multivariate data analysis, TMVA 4
P. Speckmayer,Andreas Hocker,J. Stelzer,H. Voss +3 more
- 01 Apr 2010
TL;DR: An overview of the TMVA package is given and recently developed features are presented, allowing a simple and convenient use of multivariate techniques.
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TMVA - Toolkit for Multivariate Data Analysis with ROOT : Users guide
Andreas Hocker,X. Prudent,Jan Therhaag,Y. Mahalalel,Moritz Backes,Rustem Ospanov,Maciej Kruk,M. Jachowski,Alexander Voight,Arnaud Robert,F. Tegenfeldt,Kamil Kraszewski,Marcin Wladyslaw Wolter,Domikik Dannheim,H. Voss,Krzysztof Danielowski,J. Stelzer,K. Voss,Sophie Henrot-Versille,Doug Schouten,P. Speckmayer,Or Cohen,Tancredi Carli,Andrzej Zemla,Attila Krasznahorkay,Eckhard von Toerne,Asen Christov +26 more
- 05 Mar 2007
TL;DR: With version 4, TMVA has been extended to multivariate regression of a real-valued target vector and also features more flexible data handling allowing one to arbitrarily form combined MVA methods.
CP Violation and the CKM Matrix
Andreas Hocker,Zoltan Ligeti +1 more
TL;DR: In this paper, the authors reviewed the present status of the Cabibbo-Kobayashi-Maskawa matrix and CP violation, recollect the relevant experimental and theoretical inputs, display the results from the global CKM fit, and discuss their implications for the Standard Model and some of its extensions.