Patents by Inventor Richard Spjut

Richard Spjut 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).

  • Providing insights about a dynamic machine learning model
    Patent number: 11568286
    Abstract: Computer-implemented machines, systems and methods for providing insights about a machine learning model, the machine learning model trained, during a training phase, to learn patterns to correctly classify input data associated with risk analysis. Analyzing one or more features of the machine learning model, the one or more features being defined based on one or more constraints associated with one or more values and relationships and whether said one or more values and relationships satisfy at least one of the one or more constraints. Displaying one or more visual indicators based on an analysis of the one or more features and training data used to train the machine learning model, the one or more visual indicators providing a summary of the machine learning model's performance or efficacy.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: January 31, 2023
    Assignee: FAIR ISAAC CORPORATION
    Inventors: Arash Nourian, Richard Spjut, Longfei Fan, Parama Dutta, Jari Koister, Andrew Flint
  • PROVIDING INSIGHTS ABOUT A DYNAMIC MACHINE LEARNING MODEL
    Publication number: 20200250556
    Abstract: Computer-implemented machines, systems and methods for providing insights about a machine learning model, the machine learning model trained, during a training phase, to learn patterns to correctly classify input data associated with risk analysis. Analyzing one or more features of the machine learning model, the one or more features being defined based on one or more constraints associated with one or more values and relationships and whether said one or more values and relationships satisfy at least one of the one or more constraints. Displaying one or more visual indicators based on an analysis of the one or more features and training data used to train the machine learning model, the one or more visual indicators providing a summary of the machine learning model's performance or efficacy.
    Type: Application
    Filed: January 31, 2019
    Publication date: August 6, 2020
    Inventors: Arash Nourian, Richard Spjut, Longfei Fan, Parama Dutta, Jari Koister, Andrew Flint