Sentence examples for redundant descriptor from inspiring English sources

This process encompasses several aspects, such as analyzing descriptor co-occurrence in the different candidate models, avoiding redundant descriptor sets, and analyzing descriptor target relationships.

The avoidance of redundant descriptors in QSAR/QSPR models.

Second, due to this motivation of the sets, the two sets contain redundant descriptors, so simply merging is also sub-optimal.

Then, the correlations across all pairs of descriptors were calculated, and the redundant descriptors with the correlation (r) higher than the predefined threshold (0.95) to any descriptor were removed.

Some key insights that can be gained aided by the interactive visualizations are: redundant descriptors, descriptors that provide discriminative information, relevant descriptors by consensus among alternative models, and descriptors whose knowledge helps reduce the uncertainty about the value of the target property.

Thus, it may be necessary to introduce new descriptors for the systems that have been described by overlapping and redundant descriptors.

Moreover, indiscriminate use of the existing descriptors, particularly those of overlapping and redundant descriptors, may introduce noise as well as extending the coverage of some aspects of these special features.

For example, non-redundant descriptors, selected in most of the models and strongly correlated with the target property can be easily identified in Gp by detecting the bigger and darker nodes connected between each other with light-colored links.

However statistically redundant or specific descriptor may degrade the accuracy of an algorithm for QSAR analysis.

Two filtering steps were then performed: (1) highly-correlated descriptors with redundant predictive signal were removed using the function RemoveHighlyCorrelatedFeatures with a cut-off value of 0.95, and (2) descriptors with near zero variance and hence limited predictive signal, were removed using the function RemoveNearZeroVarianceFeatures with a cut-off value of 30/1.

Since several of the ADRIANA molecular descriptors (see Methods) encode the same chemical property with different encoding functions, it seems plausible that information in these descriptors is redundant and therefore does not add to the determination of the optimal solution.