Sentence examples for more informative data from inspiring English sources

Of course, a larger number of inertial sensors (5) used in this study to obtain more informative data could be another potential cause.

This is a valuable result for resource-bounded, active learning agents that benefit from choosing the more informative data from which they learn while ignoring time-consuming/expensive, redundant data.

The advantages of adaptive pacing in fMRI of impaired subjects are expected to be the acquisition of more informative data per unit time, less contamination of data by correlates of non-language processes such as emotion, and facilitation of experiments that combine normal and impaired subjects.

A novel method is presented for measuring solubility in supercritical CO2 (scCO2), which can be used in conjunction with traditional cloud point measurements to obtain information directly on the soluble portion of a given sample and, ultimately, a much more informative data set.

These results show that the scaling parameter has an association with data quality, where a higher indicates a more informative data.

Gujarati (2011) describes that, by combining time series of cross-sectional observations, panel data provide "more informative data, more variability, less collinearity among variables, more degrees of freedom and more efficiency".

Even though the data produced by high throughput sequencing are richer and more informative than data generated from other traditional high throughput genomic technologies, the post analysis phase of next generation sequencing data presents numerous novel difficulties.

The PopKLD or PopKLD-CAT algorithms are not meant to be used as phenotyping algorithms, but we use the phenotyping task to show what information can be gained when using a more informative laboratory data summary.

When selecting focus group participants, it should not be assumed that data from more homogenous focus groups are 'better' or more informative than data from more heterogeneous groups.

In spite of some specific challenges for pathway-based analysis of the massive but more informative sequence data (see the previous review by Wang et al. [53]), NGS data would provide golden opportunities to expand the capacity and power of pathway-based analysis or gene set analysis in general to formulate and test the global hypothesis on disease susceptibility.

In recognition of this fact, a number of methods have been applied in an attempt to generate more informative descriptive data, including, for example, the application of bridge-coding algorithms to historically coded data (Sant et al, 2010; Turner et al, 2010; Maynadié et al, 2011) and the reporting of specialist hospital-based case-series frequencies (Yoon et al, 2010; Mozaheb et al, 2011).