Patents by Inventor Glen Joseph Clingroth

Glen Joseph Clingroth 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).

  • Automated computer-based model development, deployment, and management
    Patent number: 11151479
    Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.
    Type: Grant
    Filed: October 23, 2020
    Date of Patent: October 19, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: Chengwen Robert Chu, Wenjie Bao, Glen Joseph Clingroth
  • AUTOMATED COMPUTER-BASED MODEL DEVELOPMENT, DEPLOYMENT, AND MANAGEMENT
    Publication number: 20210042659
    Abstract: Computer-based models can be developed, deployed, and managed in an automated manner. For example, a model building tool can be selected based on the model building tool being compatible with one or more parameters. A first machine-learning model can be generated using the model building tool and trained using a training dataset. The first machine-learning model can then be used to perform a task. Thereafter, a new model-building tool can be selected based on the new model-building tool being compatible with the one or more parameters. A second machine-learning model can be generated using the new model-building tool and trained using the training dataset. The accuracy of the first machine-learning model can be compared to the accuracy of the second machine-learning model. Based on the second machine-learning model being more accurate, the second machine-learning model can be used to perform the particular task rather than the first machine-learning model.
    Type: Application
    Filed: October 23, 2020
    Publication date: February 11, 2021
    Applicant: SAS Institute Inc.
    Inventors: Chengwen Robert Chu, Wenjie Bao, Glen Joseph Clingroth