Patents by Inventor Reese HYDE

Reese HYDE 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).

  • Patent number: 11915109
    Abstract: In some embodiments, a method includes generating a trained decision tree with a set of nodes based on input data and a partitioning objective, and generating a modified decision tree by recursively passing the input data through the trained decision tree, recursively calculating, for each of the nodes, an associated set of metrics, and recursively defining an association between each of the nodes and the associated set of metrics. A node from a set of nodes of the modified decision tree is identified that violates a user-specified threshold value, associated with a user, for at least one of the metrics. The method also includes causing transmission of a signal to a compute device of the user, the signal including a representation of the identified node.
    Type: Grant
    Filed: September 15, 2022
    Date of Patent: February 27, 2024
    Assignee: Arthur AI, Inc.
    Inventors: Kenneth S. Chen, Reese Hyde, Keegan E. Hines
  • Publication number: 20230098255
    Abstract: In some embodiments, a method includes generating a trained decision tree with a set of nodes based on input data and a partitioning objective, and generating a modified decision tree by recursively passing the input data through the trained decision tree, recursively calculating, for each of the nodes, an associated set of metrics, and recursively defining an association between each of the nodes and the associated set of metrics. A node from a set of nodes of the modified decision tree is identified that violates a user-specified threshold value, associated with a user, for at least one of the metrics. The method also includes causing transmission of a signal to a compute device of the user, the signal including a representation of the identified node.
    Type: Application
    Filed: September 15, 2022
    Publication date: March 30, 2023
    Applicant: Arthur AI, Inc.
    Inventors: Kenneth S. CHEN, Reese HYDE, Keegan E. HINES