Sentence examples for performance of projections from inspiring English sources

First, we test the performance of projections of change in the extent of species' geographical range (CLIM, based upon climatic envelope models) as predictors of observed interspecific variation in long-term change in population size of land bird species over a large part of Europe.

In this paper, analysis and computational tests are presented that explore the performance of projection methods when used with direct forcing methods.

To evaluate the performance of projection based methods, we acquired test image data by culturing and imaging bone marrow macrophages (BMM).

To evaluate the performance of the projections from EvolutionPred, we are inspired by the mean absolute scaled error (MASE) [25], which was originally designed to alleviate the scaling effects of mean absolute error MAE).

This method has been compared with three alternative models for both incidence and mortality data and a variety of different cancer sites by comparing the performance of empirical projections (Bashir and Esteve, 2001; Bray, 2002).

By this means, the feature selection performance of random projection should be improved [12].

On the other hand, the system delay m, which is one of key quantities used to characterize the performance of random projection-based CS schemes, is expected to be as small as possible.

We know thta the performance of random projection-based CS schemes is characterized by two quantities, i.e., the data approximation error probability (or the mean square error (MSE)) and the system delay.

Test results show that using the proposed method with 40-dB signal-to-noise ratio the performance of the projection-based algorithm and model-based algorithm can be improved on average by 33.7 and 45.4%, respectively.

With our data set consisting of nearly 800 macrophage cells with highly complex morphologies, the overall performance of the projection methods were close to the ground truth fluorescence staining with the median F-score fluctuating around 0.8.

Zotenko et al. compared the performance of different projection methods for the task of classifying a new structure into its proper scop categories.