Sentence examples for and robustness of data from inspiring English sources

In addition, the accuracy and robustness of data driven models are always bounded by the training data.

Subject to the availability and robustness of data, these estimates will provide a level of geographic analysis to a state level (for smaller Australian states and territories) and at a regional level for larger Australian states.

The workshop will explore these additional connections between the techniques and tools used in private data analysis and techniques aimed at ensuring validity and robustness of statistical data analyses.

Ensuring the accuracy and robustness of public data may not exactly be a kitchen-table issue for most Americans.

This approach extends the utility of the Schlumberger-Doll Research (SDR) permeability equation from reservoirs to aquicludes and seals, and thus improves the value and robustness of NMR data.

While this method achieves the imperceptibility at high embedding rate, the security and robustness of hidden data are easily compromised.

New approaches using LCxLC and new LC-MS interfaces using microfluidics/nanofludics will be developed and integrated into the metabolomics platforms to improve the coverage and robustness of metabolomics data, and miniaturized analytical systems will be developed to allow the metabolomics analysis of ultrasmall samples as biopsies and even ultimately individual cells.

The long-standing use of the data repository, and its incorporation in day-to-day general practice and secondary care, also contributes to the completeness and robustness of the data stored.

The trees from the discovery set (from our original study, which was based on whole-genome data with lower coverage and therefore less confident VAF estimates [ 16]) are exactly represented as strongly supported subtrees, highlighting the reproducibility and robustness of the data and the fidelity of somatic mutations as lineage markers.

In recent years, one overarching objective of many has been to address fundamental questions concerning experimental design and the robustness of data collected under the broad umbrella of environmental genomics.

Efforts were made to reduce observer bias and ensure robustness of data as discussed below.