EM (Expectation maximization) algorithm

- an iterative method for find maximum likelihood estimates of parameters in a statistical model
   - E compute the expectation of the log-likelihood using the current estimates for the parameters
  - M compute parameters maximizing the expected log-likelihood found during the E step




I was trying to find weights for rules of my PCFG.
I used gigaword news data.