From 91982e2b2f06bfb548c166ca34ca622b25a0cd1c Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Thu, 26 Nov 2020 07:33:34 +0100 Subject: [PATCH] small change --- doc/src/week48/week48.do.txt | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/doc/src/week48/week48.do.txt b/doc/src/week48/week48.do.txt index dc17c1c00..7685e7579 100644 --- a/doc/src/week48/week48.do.txt +++ b/doc/src/week48/week48.do.txt @@ -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.