one can decrease the effects of training data that is incomplete or misrepresents the data (eg coin flips with a low number of flips) by using smoothing, this can be done by creating new samples which will pull the knowledge base closer to a pre-determined bias (such as 50-50 ratio on coin flips)
-Christophe
