Sentence examples for is largely equivalent from inspiring English sources

In particular, for graph reading and manipulation, our proposed method is 5.5 times faster than DCSR and 3.0 times faster than Coarse index + Skip list, while the memory consumption is largely equivalent.

Essentially, users can be considered more to be associated with a cluster rather than with an individual cell; in terms of performance, it is largely equivalent to associate with any one of the cells in the cluster.

That means learning a movement skill is largely equivalent to acquiring corresponding inverse and forward models.

Qualitatively, this figure is largely equivalent to the results by Edberg, such as the lone dibutyl phthalate and groupings of NSAIDs (Aspirin, Diclofenac and Ibuprofen) and antidiabetic drugs (Glimepiride and Rosiglitazone).

The model we propose instead is based on the following major premises: As telomere length is largely equivalent among tissues of the fetus, skeletal muscle telomere length at birth is probably the same as that of telomere length in leukocytes, which reflects telomere length in HSCs.

It was concluded that online and pen-and paper presentation are largely equivalent when an individual is faking responses in psychological testing.

We suggest that the availability of nonlocal feedback for learning is a key advantage of complex neurons over networks of simple point neurons, which have previously been found to be largely equivalent with regard to computational capability.

Power was largely equivalent between the different analysis methods when p = 0.06 and 0.03 and h2 = 0.25.

Within the widely used exponential family, parameter irredundancy, local identifiability, gradient weak local identifiability and weak local identifiability are shown to be largely equivalent.

In particular we have shown that within the exponential family models parameter irredundancy, local identifiability, gradient weak local identifiability and weak local identifiability are largely equivalent.

A more detailed comparison of rmodel and PLATA (Supplemental Text S1) revealed that despite the differences in procedural details, their results are largely equivalent when tests are performed on the same putative segmentations on the same microarray data.