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In order to apply the support vector methodology for the classification of MEL and DSP data, a train data set of 17 cases was used.
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The software applies the support vector machines (SVM) algorithm and provides a classification analysis by optimizing a hyperplane between the target variables.
Applying the support vector machine trained on the eIF4E overexpression dataset to the AKT activation dataset, we found that the support vector machine can predict the AKT fold change with a Spearman correlation coefficient of 0.15.
We applied the support weighting method to the nucleotide data matrix.
In this task, the towel serves as a support and applying the support in the correct way is the means to accomplish the end of obtaining the toy.
We exploited the potential of features extracted automatically from images and investigated the diagnostic value of each feature by applying the support vector machine recursive feature elimination algorithm.
We then applied the support vector machine (SVM) classifier with statistical feature selection to determine the best feature set for predicting BRCA1 and BRCA2 heterozygous genotypes.
The alignment of the horizontal mirror with the vertical mirror was significantly improved by applying the supporting PZT cantilevers and meander springs.
By applying the supporting forces from the rig, such as the mast and boom-end outhaul, as boundary conditions for structural analysis, the deformed sail shape is identified.
Second, we apply the minimum support and minimum confidence concept to find "significant rules".
The MICA-based support vector machine applies the classic support vector machine (SVM) [ 16] to the meta-samples calculated from MICA to gain classification in a low-dimensional space.
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