small change

2020-11-26 07:33:34 +01:00
parent ebc57fcb40
commit 91982e2b2f
1 changed files with 3 additions and 2 deletions
@@ -58,8 +58,9 @@ wavelets, splines etc.

 If our feature space is not easy to separate, as shown in the figure
 here, we can achieve a better separation by introducing more complex
-basis functions. The ideal would be, as shown in the next figure, to, via a specific transformation to 
-obtain a separation between the classes which is almost linear. 
+basis functions. The ideal would be, as shown in the next figure, to,
+via a specific transformation to obtain a separation between the
+classes which is almost linear.

 The change of basis, from $x\rightarrow z=\phi(x)$ leads to the same type of equations to be solved, except that
 we need to introduce for example a polynomial transformation to a two-dimensional training set.