<commit_before>\vspace{-1cm}
\begin{flushright}
{\sf\em arXiv:physics/0703039 [Data Analysis, Statistics and Probability]} \\
{\sf\em CERN-OPEN-2007-007} \\
{\sf\em TMVA version \TMVAVersion} \\
{\sf\em \today} \\
\def\UrlFont{\sf\em}
\url{http://tmva.sourceforge.net} 
\end{flushright}
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\HRule
\begin{flushleft}
\hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\Huge\bfseries\boldmath TMVA 4} \\[0.2cm]
{\sf\Large\bfseries\boldmath Toolkit for Multivariate Data Analysis with ROOT} \\[1cm]
{\sf\Huge\bfseries\boldmath Users Guide} 
\end{minipage}
\end{flushleft}
\HRule
\vspace{2.0cm}
%\begin{flushleft}
\begin{flushright}
% \hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\Large  A.~Hoecker,~P.~Speckmayer,~J.~Stelzer,~J.~Therhaag,~<NAME>,~H.~Voss} 
% \end{minipage}

\vspace{1.2cm}
% \hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\em\large Contributed to TMVA have:} \\[0.4cm]
{\sf\large 
M.~Backes,
T.~Carli,
O.~Cohen,
A.~Christov, 
D.~Dannheim,
K.~Danielowski,\\[0.1cm]
S.~Henrot-Versill\'e, 
M.~Jachowski, 
K.~Kraszewski,
A.~Krasznahorkay Jr.,  \\[0.1cm]    
M.~Kruk,
Y.~Mahalalel, 
R.~Ospanov, 
X.~Prudent, 
A.~Robert,
C.~Rosemann, \\[0.1cm]  
D.~Schouten, 
F.~Tegenfeldt,
A.~Voigt,
K.~Voss,
M.~Wolter, 
A.~Zemla,
J.~Zhong, \\[0.1cm]
A.~Moudgil,
K.~Albertsson
}

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% authors


\def\UrlFont{\sf}
{\small\sf
{\sf\bfseries Abstract} --- 
In high-energy physics, with the search for ever smaller signals in
ever larger data sets, it has become essential to extract a maximum of
the available information from the data.  Multivariate classification
methods based on machine learning techniques have become a fundamental
ingredient to most analyses.  Also the multivariate classifiers
themselves have significantly evolved in recent years. Statisticians
have found new ways to tune and to combine classifiers to further gain
in performance. Integrated into the analysis framework ROOT, TMVA is
a toolkit which hosts a large variety of multivariate classification
algorithms. Training, testing, performance evaluation and application of 
all available classifiers is carried out simultaneously via user-friendly 
interfaces. With version 4, TMVA has been extended to multivariate 
regression of a real-valued target vector. Regression is invoked through 
the same user interfaces as classification. TMVA 4 also features 
more flexible data handling allowing one to arbitrarily form 
combined MVA methods. A generalised boosting method is the first 
realisation benefiting from the new framework.
}
\vspace{0.5cm}
\begin{center}
{\small\sf
{\sf\bfseries TMVA \TMVAVersion\ -- Toolkit for Multivariate Data Analysis with ROOT}  \\
Copyright\index{Copyright} 
\copyright\  2005-2018, Regents of 
CERN (Switzerland),  
DESY (Germany),
MPI-Kernphysik Heidelberg (Germany),
University of Bonn (Germany),
and University of Victoria (Canada). \\
BSD license: \url{http://tmva.sourceforge.net/LICENSE}. 

{\sf\bfseries Authors:} \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>},\\
<NAME> (Universit\"at Bonn, Germany) \emailsf{<<EMAIL>>}, \\
<NAME> (Universit\"at Bonn, Germany) \emailsf{<<EMAIL>>},\\
<NAME> (MPI f\"ur Kernphysik Heidelberg, Germany) \emailsf{<<EMAIL>>},\\
\hspace{0.5cm} \\
<NAME>, % (Geneva University, Switzerland) \emailsf{<EMAIL>},\\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (CERN, Switzerland and Technion, Israel) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Universit\"at Freiburg, Germany) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LAL Orsay, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Stanford University, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME> Jr., % (CERN, CH, and Manchester U., UK)  \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, %l (Tel Aviv University, Israel) \emailsf{<<EMAIL>>}, \\
<NAME>, % (University of Texas, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LAPP Annecy, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (S. Fraser U., Canada) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Iowa University, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LPNHE Paris, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (DESY, Germany) \emailsf{<<EMAIL> <EMAIL>>}, \\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (University of Victoria, Canada) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ PAN Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ PAN Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Academia Sinica, Taipei, Taiwan) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IIIT Hyderabad, India) \emailsf{<<EMAIL>>}, \\
<NAME> % (LTU/CERN, Sweden/Geneva) \emailsf{<<EMAIL>>}, \\
\\
\hspace{0.5cm} \\
and valuable contributions from many users, please see acknowledgements.
}
\end{center}
<commit_msg>[TMVA] Doc - Add Kim as main author<commit_after>\vspace{-1cm}
\begin{flushright}
{\sf\em arXiv:physics/0703039 [Data Analysis, Statistics and Probability]} \\
{\sf\em CERN-OPEN-2007-007} \\
{\sf\em TMVA version \TMVAVersion} \\
{\sf\em \today} \\
\def\UrlFont{\sf\em}
\url{http://tmva.sourceforge.net} 
\end{flushright}
\def\UrlFont{\rm}

\def\miniPageOffset{0.2cm}
\def\miniPageWidth{13.5cm}
\vspace*{\stretch{20}}
\HRule
\begin{flushleft}
\hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\Huge\bfseries\boldmath TMVA 4} \\[0.2cm]
{\sf\Large\bfseries\boldmath Toolkit for Multivariate Data Analysis with ROOT} \\[1cm]
{\sf\Huge\bfseries\boldmath Users Guide} 
\end{minipage}
\end{flushleft}
\HRule
\vspace{2.0cm}
%\begin{flushleft}
\begin{flushright}
% \hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\Large  A.~Hoecker, P.~Speckmayer, J.~Stelzer, J.~Therhaag, <NAME>, H.~Voss, K.~Albertsson} 
% \end{minipage}

\vspace{1.2cm}
% \hspace{\miniPageOffset}\begin{minipage}{\miniPageWidth}
{\sf\em\large Contributed to TMVA have:} \\[0.4cm]
{\sf\large 
M.~Backes,
T.~Carli,
O.~Cohen,
A.~Christov, 
D.~Dannheim,
K.~Danielowski,\\[0.1cm]
S.~Henrot-Versill\'e, 
M.~Jachowski, 
K.~Kraszewski,
A.~Krasznahorkay Jr.,  \\[0.1cm]    
M.~Kruk,
Y.~Mahalalel, 
R.~Ospanov, 
X.~Prudent, 
A.~Robert,
C.~Rosemann, \\[0.1cm]  
D.~Schouten, 
F.~Tegenfeldt,
A.~Voigt,
K.~Voss,
M.~Wolter, 
A.~Zemla,
J.~Zhong,
A.~Moudgil
}

% \end{minipage}
\vspace*{\stretch{1}}
\end{flushright}
%\end{flushleft}

\vfill

\thispagestyle{empty}
\newpage

% authors


\def\UrlFont{\sf}
{\small\sf
{\sf\bfseries Abstract} --- 
In high-energy physics, with the search for ever smaller signals in
ever larger data sets, it has become essential to extract a maximum of
the available information from the data.  Multivariate classification
methods based on machine learning techniques have become a fundamental
ingredient to most analyses.  Also the multivariate classifiers
themselves have significantly evolved in recent years. Statisticians
have found new ways to tune and to combine classifiers to further gain
in performance. Integrated into the analysis framework ROOT, TMVA is
a toolkit which hosts a large variety of multivariate classification
algorithms. Training, testing, performance evaluation and application of 
all available classifiers is carried out simultaneously via user-friendly 
interfaces. With version 4, TMVA has been extended to multivariate 
regression of a real-valued target vector. Regression is invoked through 
the same user interfaces as classification. TMVA 4 also features 
more flexible data handling allowing one to arbitrarily form 
combined MVA methods. A generalised boosting method is the first 
realisation benefiting from the new framework.
}
\vspace{0.5cm}
\begin{center}
{\small\sf
{\sf\bfseries TMVA \TMVAVersion\ -- Toolkit for Multivariate Data Analysis with ROOT}  \\
Copyright\index{Copyright} 
\copyright\  2005-2018, Regents of 
CERN (Switzerland),  
DESY (Germany),
MPI-Kernphysik Heidelberg (Germany),
University of Bonn (Germany),
and University of Victoria (Canada). \\
BSD license: \url{http://tmva.sourceforge.net/LICENSE}. 

{\sf\bfseries Authors:} \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME> (CERN, Switzerland) \emailsf{<<EMAIL>>},\\
<NAME> (Universit\"at Bonn, Germany) \emailsf{<<EMAIL>>}, \\
<NAME> (Universit\"at Bonn, Germany) \emailsf{<<EMAIL>>},\\
<NAME> (MPI f\"ur Kernphysik Heidelberg, Germany) \emailsf{<<EMAIL>>},\\
<NAME> (LTU/CERN, Sweden/Geneva) \emailsf{<<EMAIL>>}, \\
\hspace{0.5cm} \\
<NAME>, % (Geneva University, Switzerland) \emailsf{<EMAIL>},\\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (CERN, Switzerland and Technion, Israel) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Universit\"at Freiburg, Germany) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LAL Orsay, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Stanford University, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME> Jr., % (CERN, CH, and Manchester U., UK)  \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ and AGH/UJ, Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, %l (Tel Aviv University, Israel) \emailsf{<<EMAIL>>}, \\
<NAME>, % (University of Texas, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LAPP Annecy, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (S. Fraser U., Canada) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Iowa University, USA) \emailsf{<<EMAIL>>}, \\
<NAME>, % (LPNHE Paris, France) \emailsf{<<EMAIL>>}, \\
<NAME>, % (DESY, Germany) \emailsf{<<EMAIL>>}, \\
<NAME>, % (CERN, Switzerland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (University of Victoria, Canada) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ PAN Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IFJ PAN Krakow, Poland) \emailsf{<<EMAIL>>}, \\
<NAME>, % (Academia Sinica, Taipei, Taiwan) \emailsf{<<EMAIL>>}, \\
<NAME>, % (IIIT Hyderabad, India) \emailsf{<<EMAIL>>}, \\
\\
\hspace{0.5cm} \\
and valuable contributions from many users, please see acknowledgements.
}
\end{center}

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