Sentence examples for classification in the case of from inspiring English sources

The aim of this study is to integrate objective and subjective assessment in landscape classification in the case of Side district in Antalya, Turkey.

Using this classification in the case of D.C., 81% of residents living in Wards 7 and 8 dwell in a food desert and will qualify for the new program, according to the D.C. Policy Center.

The latter calculate either the probability for each class (classifier) or the final value (regressor) for each element in R. Classification In the case of classification, we extend the voting scheme, to perform probabilistic classification.

For the first time, the situation (dim G(X)=N^2) was considered in article [30], where we found a classification in the case of Reinhardt domains in ({mathbb {C}}^N).

More precisely, this article reports the results of a study on EEG abnormalities detection and classification in the case of mono-channel T-F analysis first, and then, the EEG abnormalities sources localization in the case of multichannel T-F analysis.

Nineteen of 93 patients (20.4%) had a minimum to maximum range in creatinine levels that included the cutoff of 133 μmol/L, which could have led to a different classification in the case of different timing.

Although we show the proposed classification method in the case of Gabor and SURF, it can be easily generalized by two other features with complementarity and even two other biometric techniques.

Some recurrences exhibit sufficient differential gains or losses between classes to permit their use for classification, as in the case of inherited BRCA1 and BRCA2 mutations [ 55, 56].

Many of the certification symbols are accompanied by additional letters or words to indicate the category of the product, according to Jewish law; the categorisation may conflict with legal classifications, especially in the case of food that Jewish law regards as dairy, but legal classification does not.

As we can see from the above discussion based on (13), the meanings of the four metrics have become much more intuitive and easier to understand than the conventional formulation often used in the literature, particularly for Mathew's correlation coefficient, which is usually used for measuring the quality of binary (two-class) classifications as in the case of the current study.

But decision tree must not always achieve the best classification performance, especially in the case of sensor-based classification, like Fischer et al. [14] investigated occupant recognition in parked cars, in which the best results are achieved by the k-NN algorithm.