ausblenden:
Schlagwörter:
-
Zusammenfassung:
Most literature on Support Vector Machines (SVMs) concentrate on
the dual optimization problem. In this paper, we would like to point out
that the primal problem can also be solved efficiently, both for linear
and non-linear SVMs, and that there is no reason to ignore this possibility.
On the contrary, from the primal point of view new families of algorithms for
large scale SVM training can be investigated.