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At the first stage, the approximate age is calculated using a decision function (f_0 (widehat{x} )) defined on the basis of a regression constructed based on the training set (widehat{G}^{l}) across the whole range of ages ((y_{min },y_{max })).
Similar(59)
A decision analysis was performed using a decision tree model.
Each event following this decision was plotted on a decision tree using a decision analytical approach.
They successfully used a decision gradient function from RF or SVM models to identify the most significant descriptor for a prediction.
In accordance with the basic algorithm, the whole age interval ((y_{min }, y_{max })) is divided into non-intersecting ranges that are used to determine a decision function for each of them on the basis of the local regression.
Therefore, since only two signal levels are used, a bipolar decision function is used in the HNN BPSK MLSE equalizer.
A decision function is then used to classify the responses from the testing volumes into the corresponding category, by comparing the predicted temporal profile elicited by each event, against a canonical hemodynamic response function.
It learns a decision function for outlier detection.
Using the decision function as described above, a final decision on the class label of the i-th individual was made.
However, for incipient faults in which fault steadily progresses over time and there is a changeover from normal operation to faulty operation, using discrete decision function does not reveal any evidence about the progress and depth of the fault.
The class label was then decided using the decision function.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com