Remove glossary

tex/2_lit/3_ml/5_svm.tex

@@ -2,7 +2,7 @@
 \label{svm}
 
 \cite{vapnik1963} and \cite{vapnik1964} introduce the so-called support vector
-    machine (\gls{svm}) model, and \cite{vapnik2013} summarizes the research
+    machine (SVM) model, and \cite{vapnik2013} summarizes the research
     conducted since then.
 In its basic version, SVMs are linear classifiers, modeling a binary
     decision, that fit a hyperplane into the feature space of $\mat{X}$ to