Patents by Inventor Don Carmichael

Don Carmichael 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).

  • Augmenting machine learning models to incorporate incomplete datasets
    Patent number: 11568312
    Abstract: Systems and methods for increasing the training value of input training datasets are described herein. In an embodiment, a server computer receives a plurality of input training datasets, each of the input training datasets comprising values for a plurality of parameters, a value indicating whether failure has occurred, and another value indicating the time of failure or the time of observation if no failure has occurred. For each input training dataset, the server computer generates a plurality of month-specific training datasets, each of which comprising a first value indicating a number of previous months where failure has not occurred and a second value indicating whether failure occurred during a month corresponding to the month-specific training data. The server computer trains a machine learning model using the plurality of month-specific training datasets.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: January 31, 2023
    Assignee: Upstart Network, Inc.
    Inventor: Don Carmichael
  • AUGMENTING MACHINE LEARNING MODELS TO INCORPORATE INCOMPLETE DATASETS
    Publication number: 20210166308
    Abstract: Systems and methods for increasing the training value of input training datasets are described herein. In an embodiment, a server computer receives a plurality of input training datasets, each of the input training datasets comprising values for a plurality of parameters, a value indicating whether failure has occurred, and another value indicating the time of failure or the time of observation if no failure has occurred. For each input training dataset, the server computer generates a plurality of month-specific training datasets, each of which comprising a first value indicating a number of previous months where failure has not occurred and a second value indicating whether failure occurred during a month corresponding to the month-specific training data. The server computer trains a machine learning model using the plurality of month-specific training datasets.
    Type: Application
    Filed: December 3, 2019
    Publication date: June 3, 2021
    Inventor: Don Carmichael