Sentence examples for predictions with few from inspiring English sources

The model is finally evaluated by comparing its predictions with few experimental data on triple wall structures (sandwich panel plus internal equipment cover plate), where debris clouds exiting the panels' rear skin are used to assess the failure of the third wall.

Compared with the other genome-aware methods above, it was shown to be far more reliable with respect to precision (i.e. high-quality predictions with few false positives) [ 10], albeit with lower coverage as expected.

In both programmes, precursor predictions with fewer than 10 reads were discarded.

The learning curves in Figure 2 show that the mean combiner learns faster (gives more reliable predictions with fewer training data) than the individual prediction systems.

Moreover, results also revealed that the presented model can provide highly accurate predictions with a few number of elements and grid points within each element.

The integrated model is capable of providing valuable macroscale predictions with relatively few data and variables.

Instead of studying general trends and conserved network motifs across hundreds of organisms we are interested in high-quality predictions with just few or even no false-positives for C. diphtheriae, C. efficiens, and C. jeikeium based on evidenced observations from the model organism C. glutamicum.

Mice with genetic manipulations in their antioxidant defense system designed to directly address this prediction have, with few exceptions, shown no change in life span.

The development of initial prediction models with few independent variables (one to two at most), also helps to obtain more trustful models when few data is available.

After benchmarking our predictive model against large sets of non-prionic sequences, we were able to filter out known prions with high precision and accuracy, generating prediction sets with few false positives.

11 This large number of clinical variables invites the development of a more practical prediction model with fewer variables.