13. A system for classifying sequences comprising: a parameter estimator configured to receive a first training set representing first sequences having a first classification and a second training set representing second sequences, different than the first sequences, having a second classification, and to establish Markov Model parameters for the first classification based on the first and the second training sets; and a classifier configured to receive a classification set representing third sequences having an unknown classification and to classify the third sequences based upon the established Markov Model parameters.
13. A system for classifying sequences comprising: a parameter estimator configured to receive a first training set representing first sequences having a first classification and a second training set representing second sequences, different than the first sequences, having a second classification, and to establish Markov Model parameters for the first classification based on the first and the second training sets; and a classifier configured to receive a classification set representing third sequences having an unknown classification and to classify the third sequences based upon the established Markov Model parameters. 17. A system according to claim 13, wherein the parameter estimator is a first parameter estimator, the Markov Model parameters are first Markov Model parameters, and further comprising: a second parameter estimator configured to receive a first training set representing first sequences having a first classification and a second training set representing second sequences, different than the first sequences, having a second classification, and to establish second Markov Model parameters for the second classification based on the first and the second training sets; wherein the classifier is further configured to classify the third sequences based upon the established second Markov Model parameters.