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It is clear from the control and statistical analysis that the average profile distributions of segments from the solo and RWC databases play an important role in justifying the classification mismatch between the two datasets.
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The novelty of our approach relies on the purposeful interpretation of classification mismatches as genuine reclassifications opportunities.
Only two apparent classification mismatches were detected (Comanche and Indiana), probably due to registration as winter pea of cultivars that are derived from the spring pea gene pool [Declerck P: pers.com.].
Aiming at enhancing the predictive power of the available computational methods, we have developed a novel approach based on machine-learning classification algorithms, where mismatches between known and predicted drug classifications are purposely interpreted as potential alternative therapeutic indications.
Thompson BA, et al. Application of a 5-tiered scheme for standardized classification of 2,360 unique mismatch repair gene variants in the InSiGHT locus-specific database.
The mismatch between classification and phylogeny can result in grouping by arbitrary (or at least not in evolutionarily meaningful) ways and leads to confusion about shared derived features and convergent similarities.
This may be an effect of mismatch in classification.
Finally, subsection 3.6 proposes a potential resolution to the issue of mismatch by using adaptive classification techniques that circumvent the divergence in statistical characteristics between the two datasets.
There was a 29 35% disagreement between mapped areas of generalized PFTs and their respective subclasses, suggesting potential mismatches between the ecological classification scheme and PFT landscape patch structure, and raising concern on error propagation in multi-scale classifications.
That is why a separate class for ambiguous songs particularly in this respect (as opposed to ambiguous due to mismatch in labelling) probably could improve classification results.
Our findings suggest that recognition memory is mediated by classification of novel exemplars as a match or a mismatch, based on their visual similarity to familiar prototypes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com