… Hudak [1998] suggests that DSLs have the potential to improve productivity in the long run,
and with LQML we aim to simplify Linked Data quality assessment. Our proposed domain-…

… The potential burden of implementing the methods described in the guideline recommendations
also suggests that a linear guideline is not sufficient for truly improving the feasibility of …

… quality of the entire dataset due to performance and time constraints. For this reason, we
suggest to focus the Data Quality assessment … reliability of the quality assessment procedure. …

… in a chip set covers a wide enough range, we typically see at least a weak linear
association between our quality measures and these two, and sometimes other Affymetrix …

… Among these wheat quality assessment methods, this review focuses on the physical dough
testing methods, which are based on the rheological characterization of wheat flour doughs. …

… authentication and quality assessment, the combination of data from … data fusion strategies
that have been used in the field of food and beverage authentication and quality assessment…

… has smaller influence on the global quality assessment scores (for both clustering and …
models, we computed the log-linear Pearson correlation between the observed and predicted …

… , radial basis function and polynomial ones), we chose the linear kernel function for its …
quality assessment. This was done by training support vector machines to predict the local quality …

… quality assessment study in which a total of 779 distorted images were evaluated by about
two dozen human subjects. The “ground truth” image quality data … assume a linear mapping …

… Non-linear models usually need more … non-linearity (more input data than linear models).
The main advantage of such a method is flexibility, ie the ability to adjust to more complex data …