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The Transcribed matrix was obtained by thresholding the output H (see Section 3.3.2).
The curve is generated by thresholding the output possibilities of MC of the classifier.
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Screening determines the output halftone by simply thresholding the input contone image based on a pixel-by-pixel comparison with a threshold array t[m].
In this section, we derive the analytical expression to obtain the number of non-desired crossings below a given threshold
If this number is above a certain threshold the output is 1, and if it is below the threshold the output is 0. That has some useful applications.
If the limit cycle lies above the threshold, the output firing rate is roughly constant.
The stimulation parameters were chosen to be ∼1.5 times threshold by adjusting the output voltage (30 40 V) of the stimulator (S48; Grass Instruments).
In this work, the ROC curve has been generated by varying the output threshold of a classifier and plotting the true positive rate against false positive rate for each threshold value.
In this study, the ROC curve was generated by varying the output threshold of an SVM classifier and plotting the true positive rate (sensitivity) against the false positive rate (1 – specificity) for each threshold value.
The ROC curves have been generated by varying the output threshold of RF classifiers, and each point on a ROC curve represents a trade-off between sensitivity and specificity.
The firing threshold for the output neuron, N, is 4 in this example.
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