Patents by Inventor Begum Taskazan

Begum Taskazan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Label reduction in maintaining test sets
    Patent number: 11676075
    Abstract: A computer-implemented method, a computer program product, and a system for reducing labeled sample quantities required to update test sets. The computer-implemented method includes inputting a portion of unlabeled production data into a base model and generating labeled output relating to the unlabeled production data. The computer-implemented method also includes inputting the labeled output into a performance predictor. The performance predictor is a meta model of the base model that is trained with another portion of the unlabeled production data, a training set used to train the base model, and a test set portioned from the training set. The computer-implemented method further includes outputting, by the performance predictor, a performance metric relating to the labeled output produced by the trained base model. The performance metric can be any metric capable of measuring the output performance of the base model.
    Type: Grant
    Filed: May 6, 2020
    Date of Patent: June 13, 2023
    Assignee: International Business Machines Corporation
    Inventors: Jiri Navratil, Matthew Richard Arnold, Begum Taskazan, Benjamin Tyler Elder
  • LABEL REDUCTION IN MAINTAINING TEST SETS
    Publication number: 20210350181
    Abstract: A computer-implemented method, a computer program product, and a system for reducing labeled sample quantities required to update test sets. The computer-implemented method includes inputting a portion of unlabeled production data into a base model and generating labeled output relating to the unlabeled production data. The computer-implemented method also includes inputting the labeled output into a performance predictor. The performance predictor is a meta model of the base model that is trained with another portion of the unlabeled production data, a training set used to train the base model, and a test set portioned from the training set. The computer-implemented method further includes outputting, by the performance predictor, a performance metric relating to the labeled output produced by the trained base model. The performance metric can be any metric capable of measuring the output performance of the base model.
    Type: Application
    Filed: May 6, 2020
    Publication date: November 11, 2021
    Inventors: Jiri Navratil, Matthew Richard Arnold, Begum Taskazan, Benjamin Tyler Elder