Sentence examples for metrics for comparing from inspiring English sources
In this section, in this section we present an evaluation of our algorithm introducing first a set of baselines as comparators and metrics for comparing the experimental results.
> -wrap-foot> Cometricstrics for comparing the clusterings [Jaccard Index (Jaccard, 1901); Variation of Information metric (Meila, 2007)] assume that a clustering is a partitioning of a dataset into mutually disjoint sets.
We review metrics for comparing two burnt areas at a point in time: observed and predicted.
We see a need in the research community to have standard simulation and performance metrics for comparing different protocols.
One of the key metrics for comparing the financial performance of different insurance plans is what is called the "medical loss ratio," or MLR.
In this paper, we propose new metrics for comparing cognitive architectures based on the Cattell-Horn-Carroll (CHC) model, which is used in psychology to explain factors of intelligence.
Our focus was on identifying frequencies with which these types of metrics were currently used and on generating a shortlist of distinctive metrics appropriate for comparing performance of healthcare providers.
Therefore, more comprehensive design guidelines and performance metrics are needed for comparing and improving different existing manipulators versus task requirements or for comparing different digital prototypes at early design phase of manipulators.
The recognition reflects the probabilistic structure of physical MS measurements unlike the Euclidean or inner product metrics widely used for comparing spectra.
Classical scaling equations which estimate parameters such as circuit delay and energy per operation across technology generations have been extremely useful for predicting performance metrics as well as for comparing designs across fabrication technologies.
These metrics, commonly used in literature for comparing both single- and multi-species patterns (Fortin and Dale 2005; Muneepeerakul et al. 2008; Convertino et al. 2009), analyzed the local, global, and autocorrelation structure of observed and modeled vegetation patterns.
