Patents by Inventor Marius I. Danciu

Marius I. Danciu 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).

  • Generating a predictive model from multiple data sources
    Patent number: 8996452
    Abstract: Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
    Type: Grant
    Filed: July 10, 2012
    Date of Patent: March 31, 2015
    Assignee: International Business Machines Corporation
    Inventors: Marius I. Danciu, Fan Li, Michael McRoberts, Jing-Yun Shyr, Damir Spisic, Jing Xu
  • Generating a predictive model from multiple data sources
    Patent number: 8990149
    Abstract: Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
    Type: Grant
    Filed: March 15, 2011
    Date of Patent: March 24, 2015
    Assignee: International Business Machines Corporation
    Inventors: Marius I. Danciu, Fan Li, Michael McRoberts, Jing-Yun Shyr, Damir Spisic, Jing Xu
  • GENERATING A PREDICTIVE MODEL FROM MULTIPLE DATA SOURCES
    Publication number: 20120278275
    Abstract: Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
    Type: Application
    Filed: July 10, 2012
    Publication date: November 1, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Marius I. Danciu, Fan Li, Michael McRoberts, Jing-Yun Shyr, Damir Spisic, Jing Xu
  • GENERATING A PREDICTIVE MODEL FROM MULTIPLE DATA SOURCES
    Publication number: 20120239613
    Abstract: Techniques are disclosed for generating an ensemble model from multiple data sources. In one embodiment, the ensemble model is generated using a global validation sample, a global holdout sample and base models generated from the multiple data sources. An accuracy value may be determined for each base model, on the basis of the global validation dataset. The ensemble model may be generated from a subset of the base models, where the subset is selected on the basis of the determined accuracy values.
    Type: Application
    Filed: March 15, 2011
    Publication date: September 20, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Marius I. Danciu, Fan Li, Michael McRoberts, Jing-Yun Shyr, Damir Spisic, Jing Xu