cleaning up svm slides

doc/src/SupportVMachines/svm.do.txt

@@ -1094,7 +1094,7 @@ sol[’primal objective’]
 !split
 ===== Back to the more realistic cases =====
 
-We are now ready to return to our setup of the optmization problem for a more realistic case. Introducint the _slack_ parameter $C$ we have
+We are now ready to return to our setup of the optmization problem for a more realistic case. Introducing the _slack_ parameter $C$ we have
 !bt
 \[
 \frac{1}{2} \bm{\lambda}^T\begin{bmatrix} y_1y_1K(\bm{x}_1,\bm{x}_1) & y_1y_2K(\bm{x}_1,\bm{x}_2) & \dots & \dots & y_1y_nK(\bm{x}_1,\bm{x}_n) \\
@@ -1142,6 +1142,3 @@ print(x0)
 
 !ec
 
-!split
-===== Multiclass problems and regression with SVMs =====
-This material will be added later.