Patents by Inventor Jeffrey Qijia OUYANG

Jeffrey Qijia OUYANG 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).

  • Updating attribute data structures to indicate joint relationships among attributes and predictive outputs for training automated modeling systems
    Patent number: 10810463
    Abstract: Attribute data structures can be updated to indicate joint relationships among attributes and predictive outputs in training data that can be used for training automated modeling system. A data structure that stores training data for training an automated modeling algorithm can be accessed. The training data can include first data for a first attribute and second data for a second attribute. The data structure can be modified to include a derived attribute that indicates a joint relationship among the first attribute, the second attribute, and a predictive output variable. The automated modeling algorithm can be trained with the first attribute, the second attribute, and the derived attribute.
    Type: Grant
    Filed: September 8, 2017
    Date of Patent: October 20, 2020
    Assignee: EQUIFAX INC.
    Inventors: Xinyu Min, Jeffrey Qijia Ouyang
  • UPDATING ATTRIBUTE DATA STRUCTURES TO INDICATE JOINT RELATIONSHIPS AMONG ATTRIBUTES AND PREDICTIVE OUTPUTS FOR TRAINING AUTOMATED MODELING SYSTEMS
    Publication number: 20190220705
    Abstract: Attribute data structures can be updated to indicate joint relationships among attributes and predictive outputs in training data that can be used for training automated modeling system. A data structure that stores training data for training an automated modeling algorithm can be accessed. The training data can include first data for a first attribute and second data for a second attribute. The data structure can be modified to include a derived attribute that indicates a joint relationship among the first attribute, the second attribute, and a predictive output variable. The automated modeling algorithm can be trained with the first attribute, the second attribute, and the derived attribute.
    Type: Application
    Filed: September 8, 2017
    Publication date: July 18, 2019
    Inventors: Xinyu MIN, Jeffrey Qijia OUYANG