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Figure 2 Example for functional discrepancy in the image processing domain.
To meet the challenge of functional discrepancy, we propose the combination of existing symbolic composition approaches with machine learning techniques.
The system expands the capabilities of existing composition algorithms to facilitate adaptivity and consequently reduces functional discrepancy.
To overcome the mentioned functional discrepancy, however, we propose to not replace symbolic techniques, but to expand them by machine learning techniques.
Before presenting our learning recommendation system, let us take a closer look at some possible reasons for functional discrepancy in our OTF context.
We developed a learning recommendation system that expands the capabilities of existing composition algorithms to facilitate adaptivity and consequently reduces functional discrepancy.
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Then there's the functional discrepancies.
In addition to functional discrepancies between these proteins, there may be other potential explanations for these results that would not rule out orthologous function between PACT and R2D2.
These functional discrepancies have motivated efforts to uncover the roles of other polyUb chains, particularly because proteomics studies have revealed all eight Ub Ub linkages are present in eukaryotic cells.
The functional discrepancies could be explained by varying contexts of genetic alterations, differences between mouse and human tumor biology, or an inhibitory effect on Pax3 expression or function of the cerebral cortex stroma in mice.
These functional discrepancies of CDK1-mediated EZH2 phosphorylation may be the result of target gene- or cell type-specific manners and are expected to be resolved by future studies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com