Sentence examples for classification will increase from inspiring English sources
The use of this novel classification will increase the accuracy of adaptive studies in Arabidopsis.
Classification abuse will increase — more cables will be labelled "Top Secret" that should have been labelled "Secret" or "Confidential".
Therefore, if spatial information (the information obtained from pixel neighborhood) combined with spectral information, classification accuracy will increase.
Hence, identification and classification of TFs will increase our understanding of TF functions and regulation of biological processes.
While transcriptionally driven classifications of medulloblastoma will increase in importance over time, we predict that classification based on whole genome or exome sequencing of tumor DNA will likely assume additional importance as sequencing technologies become less expensive, more widely available, and more reliable.
The increased experimental error in close proximity to the cutoff value will be transferred to the classification model, which in turn will increase false prediction rate for chemicals with activity in this region.
As the data collection is expanded by users to different biological responses and assay formats, the classification power of the portal will increase, and thereby facilitate chemical systems biology.
As pathways become more complete, the classification performances of pathway-based approaches will increase [ 18].
While we expected that increasing the number of electrodes used for BCI classifier will improve its classification accuracy we wanted to test whether this improvement will increase proportionally across all three groups.
Our opinion is that this approach will increase the probability for clinicians to appropriate themselves such a classification; of course, the relevance of the classification in 5 classes should be prospectively tested in usual care conditions.
In the limit of an infinite training pool, maximizing Youden's index will place the classification threshold at a point where any shift to the left will increase sensitivity less than it will decrease specificity.
