Patents by Inventor Liam Cleary

Liam Cleary 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: 11782966
    Abstract: Given a number of records and a number of target classes to which these records belong to, a (weakly) supervised machine learning classification method leverages known possibly dirty classification rules, efficiently and accurately learns a classification model from training data, and applies the learned model to the data records to predict their classes.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: October 10, 2023
    Assignee: TAMR, INC.
    Inventors: George Beskales, John Kraemer, Ihab F. Ilyas, Liam Cleary, Paul Roome
  • Patent number: 11321359
    Abstract: Methods are provided to represent proposed changes to clusterings for ease of review, as well as tools to help subject matter experts identify clusters that warrant review versus those that do not. These tools make overall assessment of proposed clustering changes and targeted curation practical at large scale. Use of these tools and method enables efficient data management operations when dealing with extreme scale, such as where entity resolution involves clusterings created from data sources involving millions of entities.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: May 3, 2022
    Assignee: TAMR, INC.
    Inventors: Timothy Kwok Webber, George Anwar Dany Beskales, Dennis Cunningham, Alan Benjamin Wagner Rodriguez, Liam Cleary
  • Patent number: 11232143
    Abstract: Given a number of records and a number of target classes to which these records belong to, a (weakly) supervised machine learning classification method leverages known possibly dirty classification rules, efficiently and accurately learns a classification model from training data, and applies the learned model to the data records to predict their classes.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: January 25, 2022
    Assignee: TAMR, INC.
    Inventors: George Beskales, John Kraemer, Ihab F. Ilyas, Liam Cleary, Paul Roome
  • Publication number: 20220004565
    Abstract: Methods are provided to represent proposed changes to clusterings for ease of review, as well as tools to help subject matter experts identify clusters that warrant review versus those that do not. These tools make overall assessment of proposed clustering changes and targeted curation practical at large scale. Use of these tools and method enables efficient data management operations when dealing with extreme scale, such as where entity resolution involves clusterings created from data sources involving millions of entities.
    Type: Application
    Filed: December 6, 2019
    Publication date: January 6, 2022
    Inventors: Timothy Kwok WEBBER, George Anwar Dany BESKALES, Dennis CUNNINGHAM, Alan Benjamin WAGNER RODRIGUEZ, Liam CLEARY
  • Patent number: 10803105
    Abstract: Given a number of records and a number of target classes to which these records belong to, a (weakly) supervised machine learning classification method leverages known possibly dirty classification rules, efficiently and accurately learns a classification model from training data, and applies the learned model to the data records to predict their classes.
    Type: Grant
    Filed: December 5, 2019
    Date of Patent: October 13, 2020
    Assignee: Tamr, Inc.
    Inventors: George Beskales, John Kraemer, Ihab F. Ilyas, Liam Cleary, Paul Roome
  • Patent number: 5277488
    Abstract: A refrigerator or freezer of a storage refrigerator unit includes a central support shaft mounted within the refrigeration cabinet having support containers adjustably mounted along the support shaft. The shaft structure is rotatably mounted within the cabinet for access to various portions of each container.
    Type: Grant
    Filed: May 22, 1992
    Date of Patent: January 11, 1994
    Inventors: Liam Cleary, Susan Cleary