Sentence examples for maximum entropy algorithm from inspiring English sources

First of all, the maximum entropy algorithm is employed to obtain the binarization image.

A maximum entropy algorithm (Maxent) was used to develop habitat models and to calculate daily basinwide/circumpolar prediction maps to evaluate how species-specific habitat conditions evolved throughout the spring and summer months.

We used the Maximum Entropy algorithm, which showed that vegetation type and soil characteristics were the most important environmental factors affecting local distribution of Euloryma species in the CFR.

Our workflow consisted of 1) modeling hemlock habitat suitability using a Maximum Entropy algorithm; 2) developing decision tree rules to classify likely infested stands from a Landsat time series, using the habitat suitability model to mask out non-hemlock areas; and 3) field check the final classification product.

For this reason, we tested the maximum entropy algorithm, Maxent, which is one of the leading algorithms for species habitat modeling [12],[30]-[32], to map deforestation likelihood.

The maximum entropy algorithm consistently achieves the best performance among the ones in OpenNLP, although it still falls with a considerable gap behind all our models that use the three extra attributes.

Based on this best-fit PSF, we apply the maximum entropy method algorithm to the observed SXT images.

A Maximum Entropy (MaxEnt) algorithm was employed for estimating habitat suitability for the different activities of each species based on the afore-mentioned variables.

We use the Maximum Entropy (MaxEnt) algorithm and the topological method suggested by IUCN (α-hull method) to estimate the EOO for a species with disjunct distribution and limited available data.

To determine the most important predictors of such conflicts and to identify the distribution of areas with potential risk of wolf attack on humans and livestock in HP, we employed Maximum Entropy (Maxent) algorithm to build predictive models with reported conflict data from 2001 to 2010.

In this study, we designed a predictive species distribution model using the Maximum Entropy (MaxEnt) algorithm to reassess the potential current distribution and conservation status of the flat-headed cat.