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@ -21,7 +21,8 @@ La polyvalence et la flexibilité des \gls{svm} les ont donc rendus incontournab
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D’autant que de nombreux langages et librairies permettent de les utiliser.\\
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Au fil du temps, ces outils ont toujours été améliorés, et continuent de l’être…
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\textbf{Mots clés : ?, ?, ?, ?, ?, ?, ?, ?.}
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\textbf{Mots clés : svm, noyau, linéaire, régression,\\
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classification, apprentissage, machine, données.}
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\hr
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@ -35,7 +36,8 @@ The flexibility and versatility of \gls{svm} therefore made them indispensable.\
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Especially since now many languages and libraries enable their usage.\\
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Over time, these tools have always been and continue to be improved…
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\textbf{Key words: ?, ?, ?, ?, ?, ?, ?, ?.}
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\textbf{Key words: svm, kernel, linear, regression,\\
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classification, machine, learning, datasets.}
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\thispagestyle{empty}
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