Sentence examples for reliability of data sources from inspiring English sources
They will also gain experience in assessing the reliability of data sources, and they will search a wide range of publicly available data.
"By building fine-grained provenance support into AI systems to connect outcome changes to the data sources that caused these changes would allow applications to automatically infer the reliability of data sources, and in the process build more robust systems," said assistant professor of electric engineering and computer science Joseph Gonzalez, a faculty member in the RISELab.
They will also gain experience in assessing the reliability of data sources and be exposed to a wide range of publically available data, and the challenges and methods of taking data from its available form to the form necessary for a project.
To make monitoring more efficient, the reliability of data sources may be asserted by some groups and challenged by others [53].
Exposing provenance and attribution metadata is helpful to evaluate the reliability and creditability of data sources, as well as to integrate the diverse information from them.
Two provided more evidence than the others of how they built in rigor (e.g., inter-coder reliability testing, triangulation of data sources, representative sampling) to ensure the trustworthiness and credibility of their findings.
Due to the lack of standard measures (such as accuracy, consistency, comprehensiveness, coverage, accessibility, reliability) for quality evaluation, the quality of data sources is either not assessed or just assessed manually.
For a detailed explanation of data sources and reliability, see the appropriate FAO Production Yearbook or FAO Trade Yearbook.
The study showed the potential of the identifiability analysis for selecting the most relevant parameters in the model, thus allowing for model simplification, and in assessing the impact of data sources for model reliability, thus guiding the analyst in the design of future monitoring campaigns.
The use of both a variety of data sources and tools enabled triangulation and ensured a reasonable measure of reliability and validity.
A Bayesian methodology for combining this information into a probability density function of the outcome of the process that explicitly accounts for reliability of the data sources is developed.
