1. A method for classification of samples comprising: (a) providing a trained statistical model based upon a set of initial samples; (b) receiving a set of first samples; (c) training a first statistical model based upon said first set of samples, said first statistical model being of the same class as said trained statistical model; (d) receiving a set of second samples; (e) training a second statistical model based upon said second set of samples, said second statistical model being of the same class as said trained statistical model; (f) wherein said trained statistical model, said first statistical model, and said second statistical model, are independent of each other and collectively used to classify another sample.