Sentence examples for order of the datasets from inspiring English sources

All algorithms found an empty delta for the original order of the datasets.

Computational time and resources also provide limits on the order of the datasets we could generate.

Volume determinations were carried out blinded to the MRI findings and the order of the datasets was randomised.

However, with this approach the final results are highly sensitive to the ordering of the datasets.

The order of linking the datasets was based on the availability of additional data for linkage and the quality of the linkage data.

Subsampling the dataset to include a single species from either each taxonomic family (n = 28) or each order (n = 15) demonstrated a high degree of phylogenetic independence, with the trend remaining significant in 91% (family) or 86% (order) of the subsampled dataset replicates.

The length field should contain the length of the sentence in characters (used for calculating the remaining budget), articleNo is the index (starting from one in an arbitrary order) of the article in the dataset from which is this sentence and lineNo is the line number (each sentence counts as one line) of the sentence in the source article.

For the implementation of the regression methods, few further technicalities were taken into account: (i) We randomly sorted HLAs and OLPs variables before applying FARMS or any of the other approaches to avoid any possible relation between the order of the variables in the dataset and either the time of execution or the obtained model.

In order to update the datasets of our previous analysis [ 11], we included the two methanogens Methanogenium frigidum [ 16] and Methanococcoides burtonii [ 16], the halophile Haloferax volcanii [ 19], the Thermococcale Thermococcus gammatolerans (Yvan Zivanovic and Fabrice Confalonieri, personal communication), and Nanoarchaeum equitans.

The CAAD was designed to include many of the same variables contained in the CRS in order to increase the comparability of the datasets.

The rank order of the algorithms is limited to the datasets examined in this study, however, and comparisons of the algorithms across more diseases/conditions and persons with different demographic characteristics may provide stronger evidence of the rank order "stability".