On a Modification to the Mean Field EM Algorithm in Factorial Learning
Abstract
A modification is described to the use of mean field approxima(cid:173) tions in the E step of EM algorithms for analysing data from latent structure models, as described by Ghahramani (1995), among oth(cid:173) ers. The modification involves second-order Taylor approximations to expectations computed in the E step. The potential benefits of the method are illustrated using very simple latent profile models.
Cite
Text
Dunmur and Titterington. "On a Modification to the Mean Field EM Algorithm in Factorial Learning." Neural Information Processing Systems, 1996.Markdown
[Dunmur and Titterington. "On a Modification to the Mean Field EM Algorithm in Factorial Learning." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/dunmur1996neurips-modification/)BibTeX
@inproceedings{dunmur1996neurips-modification,
title = {{On a Modification to the Mean Field EM Algorithm in Factorial Learning}},
author = {Dunmur, A. P. and Titterington, D. M.},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {431-437},
url = {https://mlanthology.org/neurips/1996/dunmur1996neurips-modification/}
}