Patent · US Active

Annotating unlabeled data using classifier error rates

US11526700B2 · kind B2 · utility

0Cited by
4References
25Claims
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Key dates

Filing dateJun 29, 2020
Grant dateDec 13, 2022
Priority date
Expiry dateApr 2, 2041

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG16H50/70
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

An example system includes a processor to evaluate a trained first classifier on a test set of labeled data to generate error rates for a number of labels. The processor is to process a set of unlabeled data via the trained first classifier to generate annotated data including labels and associated error rates. The processor is to train a second classifier using the annotated data and the associated error rates.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.