Patents by Inventor Dmitry Vasilenko

Dmitry Vasilenko 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).

  • Re-sizing data partitions for ensemble models in a mapreduce framework
    Patent number: 10459934
    Abstract: Techniques are described for revising data partition size for use in generating predictive models. In one example, a method includes determining an initial number of base model partitions of data from a plurality of data sources; determining an initial base model partition size based at least in part on the initial number of base model partitions; and evaluating the initial base model partition size at least in part with reference to at least one base model partition size reference. The method further includes determining a finalized number of base model partitions based at least in part on the initial base model partition size; determining a revised base model partition size; and generating revised base models based at least in part on the revised base model partition size, including using a predictive modeling framework to randomly assign input data records from the plurality of data sources into the base model partitions.
    Type: Grant
    Filed: February 24, 2015
    Date of Patent: October 29, 2019
    Assignee: International Business Machines Corporation
    Inventors: C. Ates Dagli, Niall Fraser McCarroll, Dmitry Vasilenko
  • Re-sizing data partitions for ensemble models in a mapreduce framework
    Patent number: 9798782
    Abstract: Techniques are described for revising data partition size for use in generating predictive models. In one example, a method includes determining an initial number of base model partitions of data from a plurality of data sources; determining an initial base model partition size based at least in part on the initial number of base model partitions; and evaluating the initial base model partition size at least in part with reference to at least one base model partition size reference. The method further includes determining a finalized number of base model partitions based at least in part on the initial base model partition size; determining a revised base model partition size; and generating revised base models based at least in part on the revised base model partition size, including using a predictive modeling framework to randomly assign input data records from the plurality of data sources into the base model partitions.
    Type: Grant
    Filed: June 5, 2014
    Date of Patent: October 24, 2017
    Assignee: International Business Machines Corporation
    Inventors: C. Ates Dagli, Niall Fraser McCarroll, Dmitry Vasilenko
  • RE-SIZING DATA PARTITIONS FOR ENSEMBLE MODELS IN A MAPREDUCE FRAMEWORK
    Publication number: 20150356149
    Abstract: Techniques are described for revising data partition size for use in generating predictive models. In one example, a method includes determining an initial number of base model partitions of data from a plurality of data sources; determining an initial base model partition size based at least in part on the initial number of base model partitions; and evaluating the initial base model partition size at least in part with reference to at least one base model partition size reference. The method further includes determining a finalized number of base model partitions based at least in part on the initial base model partition size; determining a revised base model partition size; and generating revised base models based at least in part on the revised base model partition size, including using a predictive modeling framework to randomly assign input data records from the plurality of data sources into the base model partitions.
    Type: Application
    Filed: February 24, 2015
    Publication date: December 10, 2015
    Inventors: C. Ates Dagli, Niall Fraser McCarroll, Dmitry Vasilenko
  • RE-SIZING DATA PARTITIONS FOR ENSEMBLE MODELS IN A MAPREDUCE FRAMEWORK
    Publication number: 20150356148
    Abstract: Techniques are described for revising data partition size for use in generating predictive models. In one example, a method includes determining an initial number of base model partitions of data from a plurality of data sources; determining an initial base model partition size based at least in part on the initial number of base model partitions; and evaluating the initial base model partition size at least in part with reference to at least one base model partition size reference. The method further includes determining a finalized number of base model partitions based at least in part on the initial base model partition size; determining a revised base model partition size; and generating revised base models based at least in part on the revised base model partition size, including using a predictive modeling framework to randomly assign input data records from the plurality of data sources into the base model partitions.
    Type: Application
    Filed: June 5, 2014
    Publication date: December 10, 2015
    Inventors: C. Ates Dagli, Niall Fraser McCarroll, Dmitry Vasilenko