Sentence examples for in several classification from inspiring English sources

The feature subset selected by the metric has better performance than other feature selection metric in several classification methods.

Multiple methods for the extraction of features of the music symbols are implemented and the resulting vectors are employed in several classification strategies.

The new features generated by the proposed synthesis approach are compared with typical low-level audio features in several classification and retrieval tasks.

In several classification systems, BMI<20 kg m 2 has been used to distinguish between the cachectic and non-cachectic patients (Evans et al, 2008; Fearon et al, 2011), and most patients with low BMI are sarcopenic (Antoun et al, 2010).

The age at which children are diagnosed with cancer is an important prognostic factor for several childhood cancers, which may be used in several classifications of high risk patients and stratification for treatment (Coebergh et al, 2001).

In Pedicularis, floral characters were emphasized in several classifications [ 24, 26– 28] before Li [ 2, 29]; however, floral characters show a higher degree of homoplasy than that of phyllotaxy [ 2, 6, 21, 29].

The results of the study can aid in the design of classification systems in which several classification methods can be employed to increase the reliability and consistency of the classification.

To develop such signatures we have initially tested a univariate variable selection strategy based on an F test in combination with several classification methods (SVM, DLDA, PAMR, KNN, SOM) as implemented in the software application Prophet available in the Web based microarray analysis suite GEPAS [53].

In the past, several classification schemes were proposed to accommodate the diversity of ABC proteins [ 2, 6, 7, 10, 11].

In [11], scalability of several classification methods is analyzed for large-scale audio retrieval.

In our large population-based cohort of newly diagnosed patients, we found that, while still not ideal, C-peptide was a better discriminator than both age and BMI for identifying those positive to at least one of GADA and/or ICA, and C-peptide AUC reached the same level in ROC analysis as several classification schemes for ketosis-prone diabetes (32).