For our semi-automated approach, however, it seems that the usual metric of "error rate" is not appropriate, because the program does not proceed all by itself and let the user correct the answers afterwards.
If the directionality of R5 or R8 is specified incorrectly, then alerting the user that D is a dead-end metabolite will help the user correct the directionality of R5 or R8, if appropriate.
Therefore, the user corrects the errors in the next dialog turn.
User interaction, meaning that the system attempts to adjust its performance from what the user corrects, is proposed in order to reduce CT.
For example, if Flickr misidentifies a motorcycle as a bicycle and a user corrects that, the service will learn from that input so it won't make the same mistake again.
Vlingo says the technology learns the new word quickly if users correct an incorrect result.
We are working to give users correct recommendations and guides on how to decide control policies for protecting their privacy.
But the new capability, introduced to help users correct spelling and grammatical errors, means posts can be modified, and their content changed.
The service, which had been around since 2008, let users correct or fill in missing map content – like place details, roads, business information and more.
The FRR of a BCS defines the rate of incorrect keys untruly generated by the system, that is, the percentage of incorrect keys returned to genuine users (correct keys are user-specific and associated with according helper data).
To solve this problem, we systematically analyzed the user behavior during document capture (e.g., video sequences and photographs taken or hand grip used) and propose a novel solution called ScanShot, which detects document capture time to help users correct orientation errors.
