Sentence examples for models which performed from inspiring English sources

For better comparisons and considerations, the analysis has done for all models which performed better and which did not.

While there are some classical models which performed well in each part individually, it is still necessary and challenging to propose an integrated optimization model to consider all of these components together and provide efficient and environmental-friendly transit service for passengers.

The proposed scheme is shown to generate parsimonious models, which perform generalization comparable to the state-of-the-art support and relevance vector machines.

Drosophila (1351 hairpins) and Hexapoda (2014 hairpins) have a large number of hairpins compared to some individual species (lmi 7, dme 256) and consequently produce models which perform well.

The situation is reversed for the AG and PWP models, which perform better than WLW for low correlation levels.

All these reported systems are either small models which perform well on small data sets, or huge models which are difficult to be understood by the human experts.

A reduction in the distinctiveness of neural representations has also been reproduced in network models which perform similarly to older adults on associative memory tests.

To overcome this problem, Schäfer and Strimmer [ 5] proposed an empirical Bayes methods for fitting Gaussian graphical models, which performs well in inferring large-p small-n gene networks.

While this angle measure is strongly correlated with both upper and lower OPCR, the use of GLS with a Gaussian spatial correlation to control for this multicollinearity leads to low likelihood models which perform worse than models including the linear measures.

Since the initial proposition by Donald (1968) to develop ideotypes, 'i.e. biological models which perform or behave in a predictable manner within a defined environment', a large number of studies have been devoted to their development with a remarkable evolution towards the research of an 'ideal' plant for a given context.

Each model performed with high accuracy and was incorporated into an ensemble model, which performed with the highest overall accuracy of all the models.