Share this page
Share this page E-mail this page Print this page RSS feeds
Home > Publications > Growth Transform for Conditional Maximum Likelihood Estimation of Log-Linear Models
Growth Transform for Conditional Maximum Likelihood Estimation of Log-Linear Models

We present a method for conditional maximum likelihood estimation of log-linear models that employs a well known technique relying on a generalization of the Baum-Eagon inequality from polynomials to rational functions.

tr-2002-65.pdf
PDF file
tr-2002-65.ps
PostScript file

Details

Type: TechReport
Number: MSR-TR-2002-65
Pages: 5
Institution: Microsoft Research