Sentence examples for ignored features from inspiring English sources

We revisit the association between milk production and reproductive performance using a novel interdisciplinary approach based on cutting-edge statistical methods that accommodate some of the unique and previously ignored features of this problem.

Such previously ignored features provide valuable insight for data quality control and validation of error-prone ESTs, as well as the ability to identify novel functional motifs embedded in large EST datasets.

Consequently, ConiferEST was designed to be a unique and complementary EST resource that can fill these gaps by focusing on the previously ignored features for the purposes of data quality control, validation and integration and for the possibility to explore new potential functional motifs embedded in large EST datasets.

The emphasis placed on sovereign credit revealed the hitherto ignored feature of the euro, namely that by creating an independent central bank the euro member countries signed away part of their sovereign status.

On the other hand, Greenspan's virtual freezing of reserves is the most salient yet ignored feature of his tenure.

The repetition of an ignored feature facilitated behavior if the response also repeated, but hampered different responses.

Current research has largely ignored feature selection techniques in their experiments, even when using text features, which can potentially lead to highly dimensional feature sets.

This raises the question of whether companies that have ignored feature phones are safe to continue doing so as smartphones proliferate.

And many of those models ignore features of the real world.Neoclassical models, for example, are built on the assumptions that individuals make their own decisions based on self-interest, that they seek to maximise their welfare and that the result is a stable system that tends to equilibrium.

Some cameras can recognise up to ten faces in a scene and set an average focus, or select just one face from a group and focus on that.To prevent the camera from locking on to faces in the background, the algorithms used in today's digicams tend to ignore features smaller than 10% of the viewfinder's height.

Because the relaxation ignores features of the original problem, it does not guarantee optimality.