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NAB assumes an unsupervised algorithm i.e. NAB does not provide feedback to the detector about false negatives and false positives. In the case of a false negative, NAB could indicate this mistake at the end of the label window. In the case of a false positive, NAB could immediately indicate the mistake. This addition would not need to impact any of the current detectors - the use of this additional information could be option. This feature would allow for supervised online learning algorithms to compete on NAB.
The text was updated successfully, but these errors were encountered:
NAB assumes an unsupervised algorithm i.e. NAB does not provide feedback to the detector about false negatives and false positives. In the case of a false negative, NAB could indicate this mistake at the end of the label window. In the case of a false positive, NAB could immediately indicate the mistake. This addition would not need to impact any of the current detectors - the use of this additional information could be option. This feature would allow for supervised online learning algorithms to compete on NAB.
The text was updated successfully, but these errors were encountered: