Sentence examples for robustness of data from inspiring English sources

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

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.

It is our hope that these recommendations will form the basis for subsequent consensus workshops and other scientific activities designed to improve the scientific robustness of data interpretation for classification and labeling.

At a mean chamber pressure of 1.39 MPa evaluated mean particle diameters increased by a factor of two for probe delays between 5 and 16 ms after start of injection irrespective of the choices of first-guess fitting variables, indicating a certain robustness of data analysis procedure.

Thus the "shotgun" cloning approach described can exploit the unusually high degree of nucleotide conservation in signal peptide-encoding domains of amphibian defensive skin secretion peptide precursor-encoding cDNAs to rapidly expedite the discovery of novel and functional defensive peptides in a manner that circumvents specimen sacrifice without compromising robustness of data.

We introduce the concept of packet multiplicity, which measures the robustness of data packets against packet erasures.

The Home Office is currently working on improving the robustness of the data for future quarterly data summaries.

However, the similarity between the results obtained and international data reassures of the robustness of the data and their usefulness.

This decision reinforced the robustness of our data, but consequently increased the number of missing data.

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.

In order to test the robustness of the data with respect to sampling and failure issues, we have simulated heavy data incompleteness by removing from the dataset the contacts involving a specified fraction of RFID tags, chosen at random.