Pattern recognition with an imperfect supervisor

摘要

We consider the problem of learning a two-group multivariate normal mixture when the training samples are subject to random misclassification. We derive the likelihood equations for this case and discuss some ways of solving them to estimate parameters. We report results of computations with various choices of initial values of parameters in iterative procedures of estimation.