Patents by Inventor Margaret A. Payne

Margaret A. Payne 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).

  • Unsupervised Machine Learning System to Automate Functions On a Graph Structure
    Publication number: 20230316076
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 9, 2023
    Publication date: October 5, 2023
    Inventors: Ronnie J. Morris, Dana M. Pusey-Conlin, Lorraine C. Edkin, Scott A. Sims, Joel Filliben, Margaret A. Payne, Craig Douglas Widmann, Eren Kursun
  • Unsupervised machine learning system to automate functions on a graph structure
    Patent number: 11710033
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Grant
    Filed: June 12, 2018
    Date of Patent: July 25, 2023
    Assignee: Bank of America Corporation
    Inventors: Ronnie J. Morris, Dana M. Pusey-Conlin, Lorraine C. Edkin, Scott A. Sims, Joel Filliben, Margaret A. Payne, Craig Douglas Widmann, Eren Kursun
  • ENSEMBLE OF MACHINE LEARNING ENGINES COUPLED TO A GRAPH STRUCTURE THAT SPREADS HEAT
    Publication number: 20190378049
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 12, 2018
    Publication date: December 12, 2019
    Inventors: Craig Douglas Widmann, Margaret A. Payne, Joel Filliben, Eren Kursun, Lorraine C. Edkin, Dana M. Pusey-Conlin, Ronnie J. Morris, Scott A. Sims
  • MACHINE LEARNING SYSTEM TO IDENTIFY AND OPTIMIZE FEATURES BASED ON HISTORICAL DATA, KNOWN PATTERNS, OR EMERGING PATTERNS
    Publication number: 20190378050
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 12, 2018
    Publication date: December 12, 2019
    Inventors: Lorraine C. Edkin, Craig Douglas Widmann, Scott A. Sims, Margaret A. Payne, Dana M. Pusey-Conlin, Ronnie J. Morris, Joel Filliben, Eren Kursun
  • UNSUPERVISED MACHINE LEARNING SYSTEM TO AUTOMATE FUNCTIONS ON A GRAPH STRUCTURE
    Publication number: 20190378010
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 12, 2018
    Publication date: December 12, 2019
    Inventors: Ronnie J. Morris, Dana M. Pusey-Conlin, Lorraine C. Edkin, Scott A. Sims, Joel Filliben, Margaret A. Payne, Craig Douglas Widmann, Eren Kursun
  • MACHINE LEARNING SYSTEM COUPLED TO A GRAPH STRUCTURE DETECTING OUTLIER PATTERNS USING GRAPH SCANNING
    Publication number: 20190378051
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 12, 2018
    Publication date: December 12, 2019
    Inventors: Craig Douglas Widmann, Eren Kursun, Scott A. Sims, Dana M. Pusey-Conlin, Ronnie J. Morris, Margaret A. Payne, Joel Filliben, Lorraine C. Edkin
  • MACHINE LEARNING SYSTEM TO DETECT, LABEL, AND SPREAD HEAT IN A GRAPH STRUCTURE
    Publication number: 20190377819
    Abstract: Machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems are disclosed. An ensemble machine learning system is coupled to a graph module storing a graph structure, wherein a collection of entities and the relationships between those entities forms nodes and connection arcs between the various nodes. A hotfile module and hotfile propagation engine coordinate with the graph module or may be subsumed within the graph module, and implement the various hot file functionality generated by the machine learning systems.
    Type: Application
    Filed: June 12, 2018
    Publication date: December 12, 2019
    Inventors: Joel Filliben, Eren Kursun, Lorraine C. Edkin, Scott A. Sims, Craig Douglas Widmann, Margaret A. Payne, Ronnie J. Morris, Dana M. Pusey-Conlin