126 lines
4.9 KiB
TeX
126 lines
4.9 KiB
TeX
\section{Principes}
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\subsection{Régression}
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\begin{frame}{\bititle\\Principes / Régression / Linéaire}
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\begin{center}
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\only<1>{Régression linéaire, variation d’$\varepsilon$\\
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\\
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\imgbig{regression_linear_left}}
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\only<2>{Régression linéaire, variation d’$\varepsilon$\\
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\\
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\imgbig{regression_linear_right}}
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\end{center}
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\end{frame}
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\begin{frame}{\bititle\\Principes / Régression / Non linéaire}
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\begin{center}
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\only<1>{Régression polynomiale de degré 2, variation de C\\
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\\
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\imgbig{regression_nonlinear_left}}
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\only<2>{Régression polynomiale de degré 2, variation de C\\
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\\
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\imgbig{regression_nonlinear_right}}
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\end{center}
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\end{frame}
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%–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
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\subsection{Classification}
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\begin{frame}{\bititle\\Principes / Classification / Linéaire / Vaste}
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\begin{center}
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\only<1>{Séparation à Vaste Marge\\
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\\
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\imgwide{margin_hard_left}}
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\only<2>{Séparation à Vaste Marge\\
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\\
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\imgwide{margin_hard_right}}
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\end{center}
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\end{frame}
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\begin{frame}{\bititle\\Principes / Classification / Linéaire / Vaste}
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\begin{center}
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\only<1>{\imgwide{margin_scale_left}}
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\only<2>{\imgwide{margin_scale_right}}
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\end{center}
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\end{frame}
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\begin{frame}{\bititle\\Principes / Classification / Linéaire / Souple}
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\begin{center}
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\only<1>{Sensibilité de vaste marge aux anomalies\\
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\imgwide{margin_hard_left}}
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\only<2>{Sensibilité de vaste marge aux anomalies\\
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\imgwide{margin_hard_right}}
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\only<3>{Plus ou moins de violations de marge, variation de C\\
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\imgwide{margin_few_left}}
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\only<4>{Plus ou moins de violations de marge, variation de C\\
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\\
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\imgwide{margin_few_right}}
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\end{center}
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\end{frame}
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\begin{frame}{\bititle\\Principes / Classification / Non linéaire}
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\begin{center}
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\only<1>{Séparation linéaire par ajout de variable\\
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\\
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\imgwide{nonlinear_linear_left}}
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\only<2>{Séparation linéaire par ajout de variable\\
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\\
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\imgwide{nonlinear_linear_right}}
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\only<3>{Classification utilisant des variables polynomiales\\
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\\
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\imgbig{features_polynomial}}
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\only<4>{Fonction noyau polynomiale\\
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\imgbig{kernel_polynomial_left}}
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\only<5>{Fonction noyau polynomiale\\
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\imgbig{kernel_polynomial_right}}
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\only<6>{Variables de similarité utilisant la RBF gaussienne\\
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\imgbig{features_similar_left}}
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\only<7>{Variables de similarité utilisant la RBF gaussienne\\
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\imgbig{features_similar_right}}
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\only<8>{Fonction noyau gaussienne (RBF)\\
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\\
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\imgbig{kernel_rbf_left}
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\imgbig{kernel_rbf_right}}
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\end{center}
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\end{frame}
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\begin{frame}{\bititle\\Principes / Classification / Multi-classes}
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\end{frame}
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%⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅⋅
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\begin{frame}{\bititle\\Principes / Classification / Optimisation}
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\end{frame}
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