@inproceedings{meek2002staged,
author = {Meek, Chris and Thiesson, Bo and Heckerman, David},
title = {Staged Mixture Modeling and Boosting},
booktitle = {Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence},
year = {2002},
month = {August},
abstract = {In this paper, we introduce and evaluate a data-driven staged mixture modeling technique for building density, regression, and classification models. Our basic approach is to sequentially add components to a finite mixture model using the structural expectation maximization (SEM) algorithm. We show that our technique is qualitatively similar to boosting. This correspondence is a natural byproduct of the fact that we use the SEM algorithm to sequentially fit the mixture model. Finally, in our experimental evaluation, we demonstrate the effectiveness of our approach on a variety of prediction and density estimation tasks using real-world data.},
publisher = {Morgan Kaufmann Publishers},
url = {http://approjects.co.za/?big=en-us/research/publication/staged-mixture-modeling-and-boosting/},
pages = {335-343},
edition = {Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence},
}