Patents by Inventor Kristine E. JONES

Kristine E. JONES 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: 11017324
    Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for optimizing machine-learned tree ensemble prediction systems are presented. A plurality of instances may be processed by a tree ensemble. Determinations regarding the expected output values of one or more nodes of the tree ensemble may be made based, at least in part, on the processed instances. Further determinations regarding the node contribution values of one or more nodes of the tree ensemble to downstream nodes may be made based on the node output values. In some examples, feature value ranges may be computed for one or more features of the tree ensemble. One or more tree ensemble optimization operations may be performed based on the information determined from one or more of the above-described operations.
    Type: Grant
    Filed: May 17, 2017
    Date of Patent: May 25, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Alexander V. Moore, Yaxiong Cai, Kristine E. Jones
  • Publication number: 20180336487
    Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for optimizing machine-learned tree ensemble prediction systems are presented. A plurality of instances may be processed by a tree ensemble. Determinations regarding the expected output values of one or more nodes of the tree ensemble may be made based, at least in part, on the processed instances. Further determinations regarding the node contribution values of one or more nodes of the tree ensemble to downstream nodes may be made based on the node output values. In some examples, feature value ranges may be computed for one or more features of the tree ensemble. One or more tree ensemble optimization operations may be performed based on the information determined from one or more of the above-described operations.
    Type: Application
    Filed: May 17, 2017
    Publication date: November 22, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Alexander V. MOORE, Yaxiong CAI, Kristine E. JONES