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The plausibility of MI was confirmed by comparing the classifications with and without MI constraints: the differences in classification were not significant (χ; p < 0.001) and information criterion favored the constrained model.
Again, we have constructed nine ER status classifiers using the different combinations of feature selection and classification techniques, and we assess each of them by comparing the classifications with known phenotypes in the independent patient data.
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This matrix is calculated by comparing the classification of the images from 1991 and 2013.
By comparing the classification results in Table 5, we can further analyze the robustness of the two models.
Finally, the optimal combination of channels is selected by comparing the classification accuracy rates using an SVM with all combinations.
A lab experimental work has validated the chosen models in simulation by comparing the classification efficiency results.
The diagnostic accuracy of a clinical test is typically evaluated by comparing the classification of individuals by the test with their classification by some diagnostic gold standard.
The optimal channel combinations are selected by comparing the classification accuracies (choosing the best one) among different combinations in the 10×10-fold 10×10-folddation.
First of all, we evaluate the effectiveness of VLAD-FV by comparing the classification accuracies of all datasets using Fisher Vectors, VLAD, and VLAD-FV.
The relation between the composition of the feature vector and its classification accuracy was evaluated by comparing the classification results when the CC feature parameter W was varied from 0 to 10.
We examine the accuracy and robustness of our technique by comparing the classification accuracy of our technique, a maximum entropy-based aggregation technique, and four classification methods on a real-world, two-group data-set concerned with bank failure prediction.
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CEO of Professional Science Editing for Scientists @ prosciediting.com