what is true about expectation maximization? a. we repeat e-step and m-step until we reach a local optima b. expectation maximization algorithm attempts to maximize the marginal likelihood of the observed random variables. c. in the expectation step, we try to estimate the latent random variables d. in the maximization step, the parameters are re-estimated on partial data