MultivariateClassificationLecture/MultivariateClassificationLecture.tex at master · thomaskeck/MultivariateClassificationLecture · GitHub

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\include{header}

\title{Multivariate Classification}
\author[T. Keck]{Thomas Keck\\ \texttt{thomas.keck2@kit.edu}}
\institute{KIT}
\date{CSC September 2017}

\begin{document}

\begin{frame}
  \titlepage
\end{frame}

\include{0_motivation}

\include{1_neyman_pearson_lemma}

\include{2_discriminant_analysis}

\include{3_decision_tree}

\include{4_boosted_decision_trees}

\include{5_support_vector_machines}

\include{6_data_driven_techniques}

\include{7_artificial_neural_networks}

\include{8_convolutional_networks}

\include{9_recurrent_networks}

\include{10_relation_networks}

\include{11_adversarial_networks}

\include{12_reinforcement_learning}

\include{13_conclusion}

\include{14_backup}


\end{document}