Sentence examples for more stable classification from inspiring English sources

In order to obtain better and more stable classification performances, we propose a new and novel approach, so-called multiple-ROI based focal liver lesion classification.

This means that the proposed method delivers more stable classification results when using the more strict LOPO-CV.

The observation of more stable classification for Basal-like breast cancers coincides with the recent observation that Basal-like breast cancers are more robustly identified (relative to other subtypes) in single sample predictors[ 26].

It is the process of combining information from different sensors to provide a more stable and more robust classification decisions.

Some methods, e.g. SMO, Bagging, Decorate and MultiBoostAB, were more stable regarding changes in classification conditions, whereas in the case of the others, such as NaïveBayes, J48 or Hyperpipes, the performance strongly varied between different datasets, fingerprints and targets.

Herein, we need to undertake the task of exploiting these verifiably more stable biomarkers to find improved classification methods for disease status and prognosis.

All strains from Switzerland were genetically characterized at 6 highly variable loci (by MLVA) and 14 more stable loci that indicate the classification F. tularensis subsp. holarctica strains into genetic subpopulations (by Ftind analysis) (3, 6, 7 ).

Function-based classification or records classification offers various benefits compared to subject-based classification, because it is more stable; can ease the process of classifying and retrieving; and also provides context of records, rather than content, which in turn ensures records authenticity and integrity.

We examined this application of the hierarchical SVM, which creates higher-level biomarkers (generally more stable across different experiments) and improves classification by agglomerating gene information into pathway features.

Thus, future progress in biomarker identification will require new approaches in both analytical methods and in clinical study design that yield more stable predictive gene lists for the high-IR classifications.

We show that under a varying read length this mixture approach provides a more stable estimation of taxonomic composition than methods based on read classification.