sentence1: the expectation-maximization algorithm is an iterative procedure used for estimating the maximum likelihood values of model parameters in the presence of missing or incomplete data .
sentence2: the expectationmaximization algorithm is a general iterative method to obtain maximum likelihood or maximum a posteriori estimates when the observed data can be regarded as incomplete .