5. A method for training Markov Models comprising the steps of: identifying a first training set representing first sequences corresponding to a first classification; identifying a second training set representing second sequences, different than the first sequences, corresponding to a second classification; and establishing Markov Model parameters for the first classification based on the first and the second training sets.
5. A method for training Markov Models comprising the steps of: identifying a first training set representing first sequences corresponding to a first classification; identifying a second training set representing second sequences, different than the first sequences, corresponding to a second classification; and establishing Markov Model parameters for the first classification based on the first and the second training sets. 9. A method according to claim 5, wherein the established Markov Model parameters are first Markov Model parameters and further comprising the step of: establishing second Markov Model parameters for the second classification based on the first and the second training sets.