Sentence examples for obtain a classification of from inspiring English sources

As an intermediate result, we obtain a classification of all two-distance 2-designs.

The paper describes the evaluation of biological decay of structural timber elements of an ancient hayloft in order to obtain a classification of decay of each timber beam preliminary to the restoration works.

Using function spaces which are invariant under translations, we obtain a classification of the classes of input and output spaces which may be used in the study of exponential dichotomy of semigroups in terms of input-output techniques with respect to associated integral equations.

Using Blast results, the remaining 21 partial and/or interrupted ORFs were assigned to one GST sequence present in the tree in Figure 3, to obtain a classification of all 29 sequences originally assigned to the π subfamily.

Unfortunately high quality data on reproductive tactics in ungulates are currently not sufficient to obtain a classification of mating tactics that would better reflect the selective pressures exerted on pre- and post-copulatory traits, limiting the conclusions that can be drawn from the absence of distinct pattern of allocation to pre- and post-reproductive traits reported.

Because more than one marker must be considered to obtain a classification of cancer or no cancer, and if cancer, to classify it as malignant, borderline, or benign, we must develop an intelligent decision system that can fullfill such an unmet medical need.

Next, using FreeSurfer's automated cortical parcellation [79], we obtained a classification of each subjects' cortical surface into 66 anatomical regions (33 per hemisphere), corresponding to the cortical regions defined in the Desikan-Killiany atlas [50].

As is shown in Figure 3, for dataset 1, D-ABC algorithm rapidly find a solution x →, with which SVM could best training the data and obtain a classification accuracy of 98.88 %, while original ABC algorithm and MR-ABC obtain that solution slowly.

To obtain a classification, as accurate as possible, of VIR proteins using this methodology, the combination of E-value and inflation was optimized for the VIR set (E-value 10-11 and Inflation = 1.3, see "Methods").

We tested the final 5-gene classifier on the qPCR/FFPE-derived test dataset C using a cross-validation approach and obtained a classification accuracy of 72%, sensitivity of 72%, specificity of 71%, positive predictive value (PPV) of 72%, and negative predictive value (NPV) of 67% (Table  2).

Mean classification accuracy across all participants was 72% after an average of 23 s, compared to an offline analysis which obtained a classification accuracy of 80% after 45 s.