## Mixtures of Conditional Maximum Entropy Models (2002)

Venue: | In Proc. of ICML-2003 |

Citations: | 14 - 8 self |

### BibTeX

@INPROCEEDINGS{Pavlov02mixturesof,

author = {Dmitry Pavlov and Alexandrin Popescul and David M. Pennock and Lyle H. Ungar},

title = {Mixtures of Conditional Maximum Entropy Models},

booktitle = {In Proc. of ICML-2003},

year = {2002},

pages = {584--591}

}

### Years of Citing Articles

### OpenURL

### Abstract

Driven by successes in several application areas, maximum entropy modeling has recently gained considerable popularity. We generalize the standard maximum entropy formulation of classi cation problems to better handle the case where complex data distributions arise from a mixture of simpler underlying (latent) distributions. We develop a theoretical framework for characterizing data as a mixture of maximum entropy models. We formulate a maximum-likelihood interpretation of the mixture model learning, and derive a generalized EM algorithm to solve the corresponding optimization problem. We present empirical results for a number of data sets showing that modeling the data as a mixture of latent maximum entropy models gives signi cant improvement over the standard, single component, maximum entropy approach.

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Citation Context ...ty of maxent modeling, leading to a number of successful applications, including natural language processing (Berger et al., 1996), language modeling (Chen & Rosenfeld, 1999), part of speech tagging (=-=Ratnaparkhi, 1996-=-), database querying (Pavlov & Smyth, 2001), and protein modeling (Buehler & Ungar, 2001), to name a few. The maxent approach has several attractive properties that have contributed to its popularity.... |

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Citation Context ...ussed in Section 5. In Section 6 we draw conclusions and describe directions for future work. 2. Related Work The latent maximum entropy principle was introduced in a general setting by Wang et. al. (=-=Wang et al., 2002-=-). In particular, they gave a motivation for generalizing the standard Jaynes maximum entropy principle (Jaynes, 1979) to include latent variables and formulated a convergence theorem of the associate... |

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