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Exact(37)
The validity and efficiency of the present algorithm is demonstrated.
Scalability and natural fault tolerance are peculiarities of the present algorithm.
Both of validity and efficiency of the present algorithm are discussed numerically.
A modified version of the present algorithm is also presented which can detect inconsistencies and take appropriate corrective action.
A quantitative assessment of the present algorithm proves its superiority over other comparable models reported in the literature.
And extraction experiments on 2 noisy datasets further verified the strong resistance to dot noise of the present algorithm.
Similar(23)
The solutions of the present algorithms are in good agreement with the experimental data.
The characteristics of the present algorithms with various numerical dissipations are found to be in between these two algorithms.
The concept of preference is proposed on the analysis of the present algorithms for mining user navigation patterns.
This point can only be challenged by identifying and verifying several more miRNA : target gene interactions to improve the reliability of the present algorithms.
In addition a detailed discussion of the truncation error of the presented algorithm is given.
More suggestions(16)
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of the present section
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of the present procedure
of the present process
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com