Patents by Inventor John EVERSMAN

John EVERSMAN 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: 11514361
    Abstract: Embodiments for providing automated machine learning visualization. Machine learning tasks, transformers, and estimators may be received into one or more machine learning composition modules. The machine learning composition modules generate one or more machine learning models. A machine learning model pipeline is a sequence of transformers and estimators and an ensemble of machine learning pipelines are an ensemble of machine learning pipelines. A machine learning model pipeline, an ensemble of a plurality of machine learning model pipelines, or a combination thereof, along with corresponding metadata, may be generated using the machine learning composition modules. Metadata may be extracted from the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: November 29, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Theodoros Salonidis, John Eversman, Dakuo Wang, Alex Swain, Gregory Bramble, Lin Ju, Nicholas Mazzitelli, Voranouth Supadulya
  • Publication number: 20210065048
    Abstract: Embodiments for providing automated machine learning visualization. Machine learning tasks, transformers, and estimators may be received into one or more machine learning composition modules. The machine learning composition modules generate one or more machine learning models. A machine learning model pipeline is a sequence of transformers and estimators and an ensemble of machine learning pipelines are an ensemble of machine learning pipelines. A machine learning model pipeline, an ensemble of a plurality of machine learning model pipelines, or a combination thereof, along with corresponding metadata, may be generated using the machine learning composition modules. Metadata may be extracted from the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 4, 2021
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Theodoros SALONIDIS, John EVERSMAN, Dakuo WANG, Alex SWAIN, Gregory BRAMBLE, Lin JU, Nicholas MAZZITELLI, Voranouth SUPADULYA