Sentence examples for maximum entropy framework from inspiring English sources

Microstructural features are incorporated into the maximum entropy framework using data obtained from experiments or simulations.

The model, built using a maximum entropy framework, is spatially explicit, uses eco-geographic variables derived from landscape compositional, structural and functional attributes, and is based on nest location data collected in the field.

These exponential models are trained by an appropriate iterative scaling method in the maximum entropy framework.

This paper demonstrates that affordable closed-form moment closures that are inspired by the maximum-entropy framework can be proposed.

Many machine learning algorithms would fit in this classification framework and we apply a maximum entropy model (http://homepages.inf.ed.ac.uk/s0450736/maxent_toolkit.html).html

Let us now derive a simple maximum entropy model.

The MaxentTagger based on a maximum entropy model is used for POS tagging.

This work conjoined the advantages of Bayesian nonparametrics in automatically discovering the underlying mixture components and maximum entropy discrimination framework in integrating large-margin principle with Bayesian posterior inference.

However, the maximum entropy (MaxEnt) framework [23] appears to be robust even if only few occurrence records are available [24] [26].

Kriging and the Bayesian maximum entropy (BME) framework are interpolation methods that assign a series of weights to observed monitoring station data to compute interpolated values of pollutants at unmonitored sites (Bell 2006; Bogaert et al. 2009; Christakos and Vyas 1998; de Nazelle et al. 2010).

This work combines both methods by incorporating a large area variability LUR model that accounts for on road mobile emissions and stationary source emissions along with data that take into account incompleteness of PM2.5 monitors into the modern geostatistical Bayesian Maximum Entropy (BME) framework to estimate PM2.5 across the United States from 1999 to 2009.