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.
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. 10. A method according to claim 9, further comprising the steps of: generating first Markov Model coefficients associated with the first training set; generating second Markov Model coefficients associated with the second training set; adjusting the generated first coefficients to be maximally dissimilar to the second coefficients; and adjusting the generated second coefficients to be maximally dissimilar to the first coefficients; wherein the first Markov Model parameters are established based upon the adjusted first coefficients and the second Markov Model parameters are established based upon the adjusted second coefficients.