We present a new training algorithm, which is capable
of providing Fast training for a new automatically biased SVM.
We compare our agorithm to the well-known Sequential
Minimal Optimization (SMO) algorithm. We then show that this
method allows for the application of acceleration methods which
further increases the rates of convergence.