Sentence examples for using two different classification from inspiring English sources

Figure 6 Color classification of an input image using two different classification schemes.

To explore the effects of the body mass index (BMI) on menopausal symptoms among Asian American midlife women using two different classification systems: the international classification and the BMI classification for public health action among Asian populations.

While single parameters did not predict individual outcome, >86% of the patients with postoperative effusions and oedema were correctly predicted using two different classification algorithms.

Based on the number of features, including the organization of genetic determinants, shared homologies and evolutionary relationships, T4SSs have been classified into major types using two different classification schemes (Lawley et al., 2003; Christie et al., 2005).

After reducing the data matrix to just the 10 genes gathered in the panel of biomarkers, a LOOCV using three different classification paradigms was performed.

We validate and report an implementation of this approach against the DARPA Challenge and the Scan of the Month, using three different classifications — SVMs, Bayesian Networks and Decision Trees — having achieved high levels of attack detection with little false positives.

Nevertheless, we evaluated the rates in Sweden in 1993 2007 using three different classifications.

The results across the four participating hospitals show that the LFD test provides accurate and rapidly available results for disease detection, with sensitivities and specificities of about 80% that were consistent when we used three different classification criteria for IPA.

This very large prospective study clarifies and extends existing evidence for associations of subtypes of haematological malignancy with alcohol and tobacco consumption, using two different current classification systems.

In order to evaluate the generalization capabilities of the proposed methodology, it has been evaluated using two different databases under different classification scenarios: the first uses a database of PCG recordings to detect heart murmurs; the second uses EEG recordings to detect epilepsy; and the third differentiates between five different types of EEG segments.

Six cultural ecosystem values were evaluated using two different land cover classification systems GlobCover (300 m resolution) and CORINE (100 m resolution).