By using the EM algorithm ( Dempster et al. , 1977 ) , they can guarantee convergence towards the globally optimum parameter set .
maximum likelihood from incomplete data via the em algorithmquot
A P Dempster N M Laird D B Rubin
One advantage that Brown et al. 's Model 1 has over our word-to-word model is that their objective function has no local maxima . By using the EM algorithm ( Dempster et al. , 1977 ) , they can guarantee convergence towards the globally optimum parameter set . In contrast , the dynamic nature of the competitive linking algorithm changes the Pr ( datalmodel ) in a non-monotonic fashion .
By using the EM algorithm ( @@CITATION ) , they can guarantee convergence towards the globally optimum parameter set .