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We present a new training algorithm, which is capable of providing fast training for a new automatically biased SVM. We compare our algorithm 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.
Neural Networks, 2003. Proceedings of the International Joint Conference on (Volume:3 )
Date of Conference: 20-24 July 2003