Sentence examples for dataset with the same from inspiring English sources

a. Applying similarity detection to the second dataset with the same setting as that used in building behavior model.

For multiple linear regression, the procedure can be repeated many times, each time producing a new dataset with the same multiple linear regression fit as the original data.

Our results demonstrate a slight improvement compared to all other methods.We further conducted comparative experiments on the JLUBR-IRIS dataset with the same experimental protocol.

In addition, the dataset with the same name, which refers to the point in time and the used algorithms, always contains the same information – the data is only mined once and remains unchanged in the following.

To serve as the baseline for the analyses, the data of the third randomization approach (R3) produces a new dataset with the same size as the original one, but keeping only the total number of users and locations.

With the assumption that similar drivers have similar driving patterns statistically, the other respondents in the dataset with the same characteristics as the other driver in the household of the main respondent is selected under a statistical process to imitate the main respondent's driving companion for sharing the car.

Each time it is run on the same dataset with the exact same set of options, it will check at each step whether previous results, such as alignment files, reports or expression estimates, already exist and if this is the case the results will be retrieved instead of being re-processed.

The Kylberg Sintorn Rotation Dataset is a generic texture dataset with similar types of textured surfaces as in the Outex dataset but with the same general dataset structure (many samples of each texture-rotation combination) as the Mondial Marmi dataset.

Fig. 4 Sensitivity analysis of th 1 for datasets with the same (10 MHz) cell bandwidth.

Union and difference are defined over datasets with the same set of attributes.

Parallel analysis works by generating many random parallel datasets, with the same number of variables and cases as the sample dataset; each of these parallel datasets, which are filled with independent randomly generated data, is analyzed using principal component analysis.