Patents Assigned to F0cal, Inc.
  • Publication number: 20230215215
    Abstract: Systems and methods for estimating a random distribution for an overall metric for a composite node, the composite node comprising a plurality of nodes. For each data atom of a plurality of data atoms being input to the composite node, and for each node of the plurality of nodes, at least one value may be generated for a per-node metric with respect to the data atom. A value for the overall metric with respect to the data atom may be generated based on the per-node metric values of the plurality of nodes. At least one parameter of the random distribution for the overall metric for the composite node may be estimated based on the overall metric values with respect to the plurality of data atoms.
    Type: Application
    Filed: December 5, 2022
    Publication date: July 6, 2023
    Applicant: F0cal, Inc.
    Inventor: Brian F. ROSSA
  • Patent number: 11537394
    Abstract: Systems and methods for estimating a random distribution for an overall metric for a composite node, the composite node comprising a plurality of nodes. For each data atom of a plurality of data atoms being input to the composite node, and for each node of the plurality of nodes, at least one value may be generated for a per-node metric with respect to the data atom. A value for the overall metric with respect to the data atom may be generated based on the per-node metric values of the plurality of nodes. At least one parameter of the random distribution for the overall metric for the composite node may be estimated based on the overall metric values with respect to the plurality of data atoms.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: December 27, 2022
    Assignee: F0cal, Inc.
    Inventor: Brian F. Rossa
  • Publication number: 20220147349
    Abstract: Systems and methods for estimating a random distribution for an overall metric for a composite node, the composite node comprising a plurality of nodes. For each data atom of a plurality of data atoms being input to the composite node, and for each node of the plurality of nodes, at least one value may be generated for a per-node metric with respect to the data atom. A value for the overall metric with respect to the data atom may be generated based on the per-node metric values of the plurality of nodes. At least one parameter of the random distribution for the overall metric for the composite node may be estimated based on the overall metric values with respect to the plurality of data atoms.
    Type: Application
    Filed: March 27, 2020
    Publication date: May 12, 2022
    Applicant: F0cal, Inc.
    Inventor: Brian F. ROSSA