The expectation-maximization (EM) algorithm for maximizing likelihood functions, combined with the Viterbi algorithm, is applied to the problem of sequence detection when symbol timing information is ...

A stochastic approximation expectation maximization algorithm for estimating Ramsay-curve three-parameter normal ogive model with non-normal latent trait ... is the joint prior density function of ...

This paper surveys a short study about using and applying symbolic processing to direct execution of the expectation-maximization algorithm. Formulas are derived in the manner defined by the ...

We use a parallelized expectation-maximization algorithm on a Linux cluster to carry out image reconstruction. Results: We show that the magnitude and uniformity of the ASCI map strongly correlates to ...