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The accuracy of training process was characterized in terms of the number of delays.

The kernel function namely Radial Basis Function (RBF) is used to find the best cross validation accuracy of training data with parameter, C and γ.

Models A and B yielded accuracy of training set (644 compounds) equal to 91% and 89% correspondingly; the accuracy of the test set (161 compounds) was 73%and69%9%, while the specificity was 69%and61%1%, respectively.

To better discriminate patterns and improve the robustness and accuracy of training framework, we select the most characterizing subset of features S. We consider the mRMR feature selection method to solve the problem.

χ-IRG-DC ranked all genes according to integrated weighted score firstly and sequentially introduced the ranked genes based on LOOCV accuracy of training data.

Without the application of gene weights (general AGEP) the total accuracy of training data LOOCV was 78%, substantially less than with wAGEP (88%).

Similar(54)

The accuracy of trained and tested image was compared based on the classification of normal and abnormal tumor tissues.

The D-STC framework improves the accuracy of train driver detection and fully guarantees the detection speed for videos.

Positioning errors are inevitable in practice even though the accuracy of train positioning could be on the order of 10 2 m when employing the state-of-the-art positioning technologies (as detailed in Section "Positioning accuracy of the high-speed train").

Accuracy of trained Augustus on C. floridanus test set sequences.

To increase the accuracies of training and generalization, the CMAC NN classifier is designed with multiple-input and multiple-output (MIMO) network topology.

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