The Improved Iterative Scaling Algorithm A Gentle Introduction
Adam J. Berger · 2003
This note concerns the improved iterative scaling algorithm for computing maximum likelihood estimates of the parameters of exponential models The algorithm was invented by members of the machine translation group at IBM s T J Watson Research Center in the early s The goal here is to motivate the improved iterative scaling algorithm for conditional models in a way that is as complete and self contained as possible yet minimizes the mathematical burden on the reader