Sentence examples for ranking and classification from inspiring English sources

Somehow, when he later fell in love with film, Mr. Sarris managed to put those same gifts for ranking and classification to work in astonishing fashion.

The usefulness of these molecular fingerprints covered by BioChem have been sufficiently demonstrated by a number of published studies of the development of machine learning classification systems in QSAR/SAR, drug ADME/T prediction, similarity searching, clustering, ranking and classification.

The usefulness of these molecular fingerprints covered by PyBioMed have been sufficiently demonstrated by a number of published studies of the development of machine learning classification systems in QSAR/SAR, drug ADME/T prediction, similarity searching, clustering, ranking and classification [54].

dComplete cases analysis was performed; two participants dropped-out (7 %) This study documented the frequency of use of the GSLTPAQ for ranking and classification purposes, summarized the use of the GSLTPAQ based on item content and scoring methods, and evaluated the validity evidence supporting the use of the GSLTPAQ among cancer survivors.

As displayed in Table  2, 70.3 % and 50.9 % of the articles reported using the GSLTPAQ for ranking and classification purpose, respectively; this information was undetectable for two studies (1.1 %) given the lack of information reported [ 41, 42].

Results: Our approach is a combination of probabilistic models for pathway ranking, clustering and classification.

This details the composite scores, percentile ranks and classifications (e.g. average, high average etc). of the FSIQ, VCIQ, PRIQ, WMIQ and the PSIQ.

The study proceeds by a statistical analysis of journals ranking and the classification of individual articles given by reviewers on a scale from A (excellent) to D (limited).

These tests performed with three comparisons of: a ranking of the number of intervals, ranking of running time, and ranking of classification performances (predictive accuracy and AUC).

In our recently published work [21], a statistical measure called SEPCOR is used to rank the features and classification results are very impressive.

In this article, we show the combination of pathway ranking with Markov clustering and classification models is scalable to the analysis of complete metabolic networks.