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A summary of the results from different base classifiers have been shown in Table 2.
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Image processing approaches; first order surface metrics, gray level co-occurrence matrix (GLC M based texture analysis and minimum distance based classifiers have been used to estimate wear of tricone drill bits in rock drilling.
In this regard, SVM based classifiers have been demonstrated to reliably distinguish patients with major depressive disorder (MDD) from healthy controls based on their resting state functional connectivity patterns [3].
In this article, a domain adaptation (DA) technique using artificial neural networks based classifiers has been proposed using two-level cluster mapping technique by integrating the common data transformation and transfer learning approaches in a single framework.
A Linear Discriminant Analysis (LDA) based classifier has been developed in order to differentiate between the three mental tasks.
Therefore, we concluded that this gene expression based classifier has been well trained for predicting breast cancer subtypes.
Classifiers have been applied based on the concept of Chou′s pseudo-amino acid composition (PseAAC) and local alignment kernel.
In order to assess the discriminatory power of each variable, 226 Bayesian classifiers have been developed, each based on a single variable.
Various features and classifiers have been used.
Two SVM classifiers have been proposed.
The average performance of classifiers has been listed based on the imputation by K-nearest neighbor (Knn = 1, Knn = 3, Knn = 5, and Knn = 7), mean, and medoid, respectively.
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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