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Taking eigenvalue problems due to Yee's scheme as examples, we propose using Krylov Schur method and Jacobi Davidson method to solve the resulting eigenvalue problems.
To learn from MIML examples, we propose the MimlBoost and MimlSvm algorithms based on a simple degeneration strategy, and experiments show that solving problems involving complicated objects with multiple semantic meanings in the MIML framework can lead to good performance.
Based on in silico analysis and published experimental examples, we propose that CNSs are likely to function as part of PRC2 recruitment in plants.
Based on current examples, we propose that a small amount of transgenic gRNA expression may be enough for efficient tissue-specific mutagenesis.
In this paper, aiming at both imbalance and over-fitting problem for genes function prediction with only few positive examples and unlabeled examples, we propose a novel strategy for predicting genes function using SVM.
As examples, we propose that acidocalcisomes arose from interactions and self-selection among SUMIs and that the phosphorylation of proteins in modern cells had its origin in the covalent modification of proteins by PHB.
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In this example we propose the following improvement of (20).
As an illustration example, we propose here a neural network-based edge detection system.
For example, we propose candidates that may interact with viral RSSs to induce the resistance response.
Regarding the fire example, we propose to further elaborate the scripting qualities of the UE4.
As a first example, we propose eta_{t}(d)=1-e^{-beta d}, (5).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com