Sentence examples for classification whereas from inspiring English sources

SVM classifier employs the generic representation learnt for vessel type classification, whereas CNN employs a representation specifically learnt for predicting attributes.

The major dissimilarity between LDA and PCA is that, generally, PCA is used for feature classification, whereas LDA is used for data classification.

Intuitively, to group all instances of the metal zinc together is to engage in a natural classification, whereas to group together Trajan's column, the number two, and Julius Caesar is to classify things in an arbitrary manner.

Also we use a linear kernel (rather than a pyramid one) during SVM classification, whereas a similarity measure based on Bhattacharyya coefficient [21] (instead of distance) when KNN is employed for classification purpose.

For example, the scenario OSEMPET1/PSF ± TOFPET2 led to three patients being classified as PMR instead of CMR, seven as SMD instead of PMR, and nine as PMD instead of SMD with the EORTC classification whereas these same changes occurred, respectively, in two, five and three cases with the PERCIST classification.

100% polyester and polyester cotton fabrics treated with 4%and7%7% fluorpolymer reach hydrostatic pressure level of more than 20 cm and therefore can be used for level 2 protection as per AAMI barrier classification, whereas 100% cotton fabric can provide only level 1 protection even on application of 7% fluoropolymer finish.

The JCID provided more detailed information on this variable (18 different classifications), whereas DCRP data only had 7 classifications.

No differences were found between pH-value and BMI-classification, whereas there was a significant difference in weight classes to Apgar values at one and five minutes after birth between all groups (each p <0.001).

This is meaningful because atopy is not used to build groups with MCA and hierarchical classifications, whereas FENO, eosinophils and BHR are.

Based on data shown in Figure 5, we demonstrate that the sample size plays an important role for Type 1 classifications, whereas for Type 2 and Type 3 classifications the sample size plays a minor role.

The difference observed in prevalence of multisite pain may be explained by the study populations considered; in this study we have used a large general population based sample and applied BD classifications, whereas Failde et al. used a small clinical population diagnosed with BD and also experiencing depressive episodes.