Sentence examples for by the support vector from inspiring English sources

Exact(14)

Thus generated, the velocity was optimized according to the measures obtained by the support vector machine.

Additionally, a nonlinear quantitative structure activity relationship (QSAR) model was built by the support vector machine.

The basic idea is to launch cooperative monitoring between vehicles to build a training dataset that is analyzed by the Support Vector Machine (SVM) learning technique in online and incremental fashions to classify the smart vehicles either cooperative or malicious.

Iso-preference contour plots in the form of a rotated ellipse were derived by the Support Vector Regression (SVR) method while the difference in sensitivity was assessed with respect to the meridian (horizontal and vertical directions).

The results show that the framework was able to help produce lower estimation errors than previous research, and the model built by the Support Vector Regression algorithm on the features selected by Elastic Net has the least cross-validation mean squared error.

Fig. 8 Classification by the support vector machine (SVM).

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Similar(46)

The basic idea of OMP algorithm is how to select the column vector of measurement matrix Φ by utilizing the greedy iteration way and reconstruct the signal by computing the support vector set on iterative algorithm of parameter x[13].

Our new indexes provided a good means to determine the functional relationships of the genes, by examining a few examples, and higher performance of Gene Ontology term prediction by using the support vector machine and the multidimensional correlation.

The vis NIR models were calibrated by using the support vector regression machine (SVM) algorithm.

In this work, the QSPR model was constructed to predict the basal spacing of LDHs from 7.5 to 8.0 Å by using the support vector regression (SVR) algorithm.

By using the Support Vector Machine (SVM) classifier to make classification, the analysis results demonstrate that the proposed fault diagnosis and feature extraction method is effective.

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