1. A computer implemented method that maximizes probability values to facilitate training a machine learning system comprising: receiving a data set; determining an Exponential distribution as a prior; defining one or more parameters; and training a model based at least in part upon a subset of the data set, the Exponential prior and the one or more parameters.