Sentence examples for method that ranks from inspiring English sources

In addition to this model, Contreras (2011) proposed another method that ranks the alternatives in two stages.

To fill this gap we developed a computational Evolutionary Trace method that ranks the evolutionary importance of amino acids in protein sequences.

Hence, we need a graph centrality method that ranks keyterms by considering both the semantic structure of the keyterm graph and the frequency of keyterms.

The PCA-FP is a sequential method that ranks each feature according to the importance of the eigenvector (highest proportion's variance greater importance) in which is significantly present or not, i.e., if its absolute score value is higher than a threshold equals to 0.1000 is statistically significant and non-significant in a contrary case.

But the evaluation setup suggested in [43, 44] forces a restriction upon the method that ranks the compounds in the spectral library for a given query (such methods will be called search engine in the following): the search engine cannot decide to return more or fewer answers for certain queries; instead, it is forced to always return the same number of answers.

Aerts et al. (2006) developed Endeavour, a gene prioritization method that ranks candidate genes based on their similarity to genes already involved in the biological process of interest, using multiple data sources (e.g., sequence, expression, literature) [2].

Particularly, computational methods that "rank" chemical structures based on their likelihood of clinical success are useful for large-scale compounds screening.

For those methods that ranked their selected attributes, rather than identifying a small selection of attributes, the top 10 features were used.

An interesting observation was that simple feature-selection methods that ranked features based on difference in means performed very well in both cross-validation and independent validation relative to the more commonly used t statistic-based ranking.

In this model, criteria weights are computed using AHP method that ranking of the alternatives computed using VIKOR method.

We then develop a new method that exploits low-rank problems with block Golub Kahan iteration in a Krylov subspace to approximate the low-rank problem.