The expectation maximization algorithm arises in many computational biology applications that involve probabilistic models. What is it good for, and how does it work?

The AIC statistic is widely used to select the best model among alternative parametric models. The minimum AIC model selection procedure can be interpreted as a maximization of the expected entropy ...