February 2017
Beginner to intermediate
1100 pages
25h 19m
English
Most of the applications using support vector machines are related to classification. However, the same technique can be applied to regression problems. Luckily, as with classification, LIBSVM supports two formulations for support vector regression:
For the sake of consistency with the two previous cases, the following test uses the
(or C) formulation of the support vector regression.
The SVR introduces the concept of error insensitive zone and insensitive error, ε. The insensitive ...
Read now
Unlock full access