Sentence examples for metric that quantifies from inspiring English sources
A flexible metric that quantifies the penalty of misalignments is derived.
The JSD provides an information-theoretic metric that quantifies how two profiles, which that can be seen as distributions over time, are similar.
Effective mesh size (meff) is an ecologically relevant metric that quantifies landscape fragmentation based on the probability that two randomly chosen points in a region are located in the same non-fragmented patch.
Encouraged by the localized and part-based representations of proNMF as well as the challenges on choosing a suitable metric that quantifies the approximation error in the NMF model, we proposed a new dimensionality reduction approach, named projective complex matrix factorization (proCMF).
Third, crystallographic order parameters (S) weigh these harmonic and non-harmonic contributions in a single metric that quantifies the disorder of each residue in a multiconformer model, allowing direct comparison with NMR-determined order parameters (Fenwick et al., 2014).
In this paper we propose a metric that quantifies how far trajectories are from being ergodic with respect to a given probability measure.
It will therefore also be interesting to compare our entropy metric to other network metrics that quantify randomness or to metrics that combine randomness and changes in mean correlation levels.
Many diversity measures have been developed with the goal of finding a metric that can quantify the effects of impacts such as pollution on natural communities.
Though greater familiarity with the problem domain likely accounted for some portion of that speedup, the number of lines of code in each application is a valid, concrete metric that can help quantify the relative simplicity of the iPad implementation [ 10- 12].
Fundamental to the assessment of predictive signal of molecular signatures is the choice of error metric that is used to quantify predictivity.
In 2013, based on the observation that paths through high-degree 'hub' nodes in the PPI network were less informative than short paths through protein nodes with fewer interaction partners, (Cao et al., 2013) introduce the diffusion state distance (DSD) metric that is able to quantify topological similarity in a PPI network in a more fine-grained way.
