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After successfully eliminating institutional variations and merging multiple datasets, we generated a training cohort of 1073 and a testing cohort of 659.
From this image library, we generated a training set of five SEM images of each species that were correctly classified and labeled.
After the genotypes and the phenotypes are generated, a training sample of size 500, 1000, or 1500 is selected at random to estimate the phenotypes of the remaining individuals (test set) with the following models: A single Gaussian kernel model (SK) and multiple kernel models with 2, 5, 10, 20, or 30 splits per chromosome (MK_2, MK_5, …, MK_30).
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In order to generate a training model for AMPs prediction, a "General Training Set" has to be prepared.
This study showed how analogy of modern occurrences can be set as the foundation for generating a training image.
However, SSM requires 30 75 segmented liver shapes to generate a training dataset from which the main shape variations are derived.
To build a classifier, we generate a training set through crowdsourcing, where workers on Crowdflower8 are asked to label whether a tweet is first person.
In this paper, fuzzy rule base has been designed for hang function by generating a training datasheet using the basic equation.
The effective transmission error of the planetary set is calculated using the proprietary transmission software, RomaxDesigner, for a range of design variants to generate a training set of data.
First, we introduce an accurate structure-based interface similarity measure that is used to generate a training set of similar and dissimilar interfaces.
To keep robustness of such a selection the bootstrap method (drawing with replacement) was used to generate a training set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com