Sentence examples for use of different datasets from inspiring English sources

It is characteristic that during the classification process, in each case of different scenarios represented by the use of different datasets, the proposed system achieved accuracy rates of at least 94.2%.

Despite many studies focusing on feature engineering, it is not possible to identify the best types of features since the experiments make use of different datasets; however, it has been shown that there is no silver bullet for review spam detection and multiple types of features are needed.

The effect of the use of different datasets, when using a phylogenetic approach [ 27], on the identification of positively selected amino acid sites is here addressed.

The estimates were robust to the use of different datasets: restricting the data to infections known to be from outside the household led produce no significant difference in the parameter estimates (all were within 1 SE) and the effect on mean value of s a,n) was minimal: decreasing it by less than 0.07%.

Using a combination of different datasets – patents, co-patents, R&D alliances and new ventures in semiconductors – this study proposes a novel quantitative approach to assessing the magnitude of innovative activity by user firms.

Consistency of results using a variety of different datasets adds confidence to the conclusions.

Software NEWBLER (Roche off-instrument software) was used for assembly of different datasets.

A standard stress function [15] has the disadvantage that it cannot be used to compare the embedding of different datasets: it is commonly defined as the sum of squares between the pairwise distances in the high-dimensional representation (feature values) and the low-dimensional representation (3D positions).

(2009) Dun & Bradstreet 80 Plant It varies No Poschke (2014) GEM + Amadeus 50 Firm 0 Yes This paper ESWB 104 Plant 5 No The main characteristics of different datasets used to perform cross-country analysis of the size distribution of production units.

Several tools have been developed to integrate metadata and sequence data, allowing downstream comparative analyses of different datasets using a number of ecological indices.

A number of different datasets were used and data were analysed using appropriate statistics.