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Marc Beninca 2020-08-07 16:31:53 +02:00
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47
cnam/travaux/probatoire/document.bib
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@ -1,15 +1,60 @@
@book{homl, @book{homl-large-scale,
author = "Aurélien Géron", author = "Aurélien Géron",
title = "Hands-on Machine Learning", title = "Hands-on Machine Learning",
year = "2019", year = "2019",
publisher = "O'Reilly", publisher = "O'Reilly",
pages = "154",
} }
@book{homl-hard-few,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "155",
}
@book{homl-nonlinear-linear,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "157",
}
@book{homl-poly,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "159",
}
@book{homl-rbf,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "161",
}
@book{homl-linear,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "163",
}
@book{homl-nonlinear,
author = "Aurélien Géron",
title = "Hands-on Machine Learning",
year = "2019",
publisher = "O'Reilly",
pages = "164",
}
@book{csdd, @book{csdd,
author = "Jean Beney", author = "Jean Beney",
title = "Classification supervisée de documents : théorie et pratique", title = "Classification supervisée de documents : théorie et pratique",
year = "2008", year = "2008",
publisher = "Hermes Science", publisher = "Hermes Science",
} }
@article{svm, @article{svm,
author = "Ricco Rakotomalala", author = "Ricco Rakotomalala",
title = "SVM : Support Vector Machine", title = "SVM : Support Vector Machine",

18
cnam/travaux/probatoire/document/principles.tex
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@ -30,14 +30,14 @@ deux types de résolution sont disponibles :
\subsubsection{Régression linéaire} \subsubsection{Régression linéaire}
\bifig{}{Régression linéaire} \bifig{}{Régression linéaire \cite{homl-linear}}
{16em}{regression_linear_left}{regression_linear_right} {16em}{regression_linear_left}{regression_linear_right}
… …
\subsubsection{Régression non linéaire} \subsubsection{Régression non linéaire}
\bifig{}{Régression non linéaire} \bifig{}{Régression non linéaire \cite{homl-nonlinear}}
{16em}{regression_nonlinear_left}{regression_nonlinear_right} {16em}{regression_nonlinear_left}{regression_nonlinear_right}
… …
@ -50,22 +50,22 @@ deux types de résolution sont disponibles :
… …
\bifig{}{Vaste marge} \bifig{}{Vaste marge \cite{homl-large-scale}}
{9em}{margin_large_left}{margin_large_right} {9em}{margin_large_left}{margin_large_right}
… …
\bifig{}{} \bifig{}{ \cite{homl-large-scale}}
{10em}{margin_scale_left}{margin_scale_right} {10em}{margin_scale_left}{margin_scale_right}
… …
\bifig{}{} \bifig{}{ \cite{homl-hard-few}}
{9em}{margin_hard_left}{margin_hard_right} {9em}{margin_hard_left}{margin_hard_right}
… …
\bifig{}{} \bifig{}{ \cite{homl-hard-few}}
{9em}{margin_few_left}{margin_few_right} {9em}{margin_few_left}{margin_few_right}
… …
@ -74,17 +74,17 @@ deux types de résolution sont disponibles :
… …
\bifig{}{Séparabilité linéaire} \bifig{}{Séparabilité linéaire \cite{homl-nonlinear-linear}}
{14em}{nonlinear_linear_left}{nonlinear_linear_right} {14em}{nonlinear_linear_left}{nonlinear_linear_right}
… …
\bifig{}{Fonction noyau polynominale} \bifig{}{Fonction noyau polynominale \cite{homl-poly}}
{14em}{kernel_polynomial_left}{kernel_polynomial_right} {14em}{kernel_polynomial_left}{kernel_polynomial_right}
… …
\bifig{}{Fonction noyau gaussien \gls{rbf}} \bifig{}{Fonction noyau gaussien \gls{rbf} \cite{homl-rbf}}
{26em}{kernel_rbf_left}{kernel_rbf_right} {26em}{kernel_rbf_left}{kernel_rbf_right}
… …