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Usually another learning procedure is needed to combine these classification outputs.
Hence the fault classification outputs of network were shown in Eqs.
Then, under this dynamic feature extraction and classification, classification outputs are three stress level modes.
In section "Posterior interpretation of output classes", posterior interpretation of the classification outputs is done.
The classification accuracy (Acc) is defined as the observed agreement between classification outputs and true labels [32].
True positive (TP), false negative (FN), false positive (FP), true negative (TN) rates are provided for the actual and predicted outputs (classification outputs).
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The SVM classification output or result was the decision values of each pixel.
The back propagation is employed to update the parameters during the training process with the objective of making the difference between the actual classification output and the desired classification output as small as possible.
We evaluate social activeness of the user as a binary classification output, indicating whether a user is active or inactive.
This process can be repeated as many times as necessary until the user is happy with the classification output.
This section describes how the excitement classification output is used in construction of the feature parameter for highlights extraction.
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