Patents by Inventor Mohan U. Kamath

Mohan U. Kamath 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).

  • Hyper parameter tuning for machine learning models
    Patent number: 12086725
    Abstract: Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments.
    Type: Grant
    Filed: August 6, 2020
    Date of Patent: September 10, 2024
    Assignee: Oracle International Corporation
    Inventors: Suresh Kumar Golconda, Vijayalakshmi Krishnamurthy, Someshwar Maroti Kale, Sujay Sarkhel, Nickolas Kavantzas, Mohan U. Kamath, Neelesh Kumar Shukla, Vidya Mani, Amit Vaid
  • HYPER PARAMETER TUNING FOR MACHINE LEARNING MODELS
    Publication number: 20220044130
    Abstract: Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments.
    Type: Application
    Filed: August 6, 2020
    Publication date: February 10, 2022
    Applicant: Oracle International Corporation
    Inventors: Suresh Kumar Golconda, Vijayalakshmi Krishnamurthy, Someshwar Maroti Kale, Sujay Sarkhel, Nickolas Kavantzas, Mohan U. Kamath, Neelesh Kumar Shukla, Vidya Mani, Amit Vaid