On maximum likelihood estimation and divergence minimization
Terence Chan, Raymond W. Yeung · 2003
We reformulate probabilistic inference problems as divergence minimization (DM) problems, which have a natural geometrical interpretation. An iterative algorithm is proposed to solve the DM problem. It turns out that the EM algorithm could be regarded as a special case.