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In this work a continuous decision function is anticipated.
especially when at least one time-varying operating decision function needs to be selected.
For this reason, an adaptive sampling scheme that updates the decision function is proposed.
It is a group decision function and cannot be done on an individual basis.
There is one line per test example in output_file containing the value of the decision function on that example.
We determine appropriate values for the feedback factor under the specific premium decision function using the tools of control theory.
Use of misclassification information and hinge loss error in growing/learning criterion helps in approximating the decision function accurately.
For proper adjustment of these four parameters, a step-like optical decision function with ∼10 dB/dB steepness is predicted.
We obtain a matching decision function to classify a pair of features as a true or false match.
HPIN is based on a novel handoff decision function and carries out localized mobility, fast handoff and access networks discovery.
Decision function.
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