Sentence examples for maximum entropy models from inspiring English sources

Contrastive divergence [17] is another popular method to estimate parameters in discrete maximum entropy models.

OSCAR3/4 are machine learning-based systems that utilize maximum entropy models [16] on the OSCAR corpus.

This information was supplied by the GENIA Tagger [39] which employs maximum entropy models in analysing both general and biomedical-domain documents.

Here, we discover such networks by minimizing probability flow, a recently proposed objective for estimating parameters in discrete maximum entropy models.

We also employed a large dataset of presence-only data collected in Provence to model environmental influences on occurrence probability using maximum entropy models.

We show that this leads to strong beyond-pairwise correlations that is, correlations that cannot be captured by maximum entropy models that extrapolate from pairwise statistics—as for earlier work with discrete threshold crossing (dichotomous Gaussian) models.

Environmental suitability was modelled using maximum entropy modelling (Maxent), a machine-learning process that uses presence-only data [6].

In order to alleviate this problem, this paper proposed HMEM as a new acoustic modeling technique based on maximum entropy modeling approach.

Let us now derive a simple maximum entropy model.

This paper introduces a maximum entropy model (MEM -based speech synthesis.

Open image in new window Fig. 10 Intrinsic vulnerability map obtained by applying maximum entropy modeling.