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\documentclass[a4paper, 12pt, draft=true]{article}
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\begin{document}f
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\newcommand{\plimn}[0]{\plim\limits_{n \to \infty}}
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\newcommand{\norm}[1]{\left\lVert#1\right\rVert}
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\newcommand*\circled[1]{\tikz[baseline=(char.base)]{
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\node[shape=circle,draw,inner sep=2pt] (char) {#1};}}
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\newcommand{\abs}[1]{\ensuremath{\left\vert#1\right\vert}}
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%\newcommand{\myrightarrow}[1]{\xrightarrow{\makebox[2em][c]{$\scriptstyle#1$}}}
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%Arndt Tobias \hfill 21.12.2017\newline
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%\textbf{Seminar Machine--Learning: Unsupervised %Learning} \newline
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%Institut für Mathematik der Universität %Augsburg\\
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%Lehrstuhl für Rechnerorientierte Statistik und %Datenanalyse\\
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\smallskip\hrule\bigskip
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\begin{center}
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{\huge{Electricity Price Forecasting based on Regression Tree Models}}
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\end{center}
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\hrulefill
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\newpage
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%\setcounter{tocdepth}{4}
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\tableofcontents
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\listoftodos
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\newpage
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\pagenumbering{arabic}
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% Introduction
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\input{introduction}
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\newpage
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% Introduction Neural Networks
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\input{introduction_nn}
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\newpage
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% Theorem 3.8
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\input{theo_3_8}
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\newpage
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% Kapitel 4
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\input{further_applications_of_nn}
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\newpage
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\printbibliography
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% Appendix A
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\input{appendixA.tex}
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\end{document}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: t
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%%% End:
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