Patents by Inventor Marc Altshuller

Marc Altshuller 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).

  • Predictive model search by communicating comparative strength
    Patent number: 10460276
    Abstract: A method for comparing predictive data models based on a predictive model search is provided. The method may include receiving a first and second portion of a set of data. The method may also include identifying a first and second variation of the second portion, wherein the first variation is different from the second variation. The method may further include generating first predictive data models based on the first variation, and second predictive data models based on the second variation. Additionally, the method may include applying a criteria to rank the first and second predictive data models based on predictive strength. The method may also include presenting a display of the ranked criteria, comprising the first portion, and a portion of the first and second predictive data models, wherein the portion of the first and second predictive data models are collectively ranked and presented according to the predictive strength.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: October 29, 2019
    Assignee: International Business Machines Corporation
    Inventors: Marc Altshuller, Jing-Yun Shyr, Damir Spisic, Margaret J. Vais, Neil Whitney
  • Predictive model search by communicating comparative strength
    Patent number: 10460275
    Abstract: A method for comparing predictive data models based on a predictive model search is provided. The method may include receiving a first and second portion of a set of data. The method may also include identifying a first and second variation of the second portion, wherein the first variation is different from the second variation. The method may further include generating first predictive data models based on the first variation, and second predictive data models based on the second variation. Additionally, the method may include applying a criteria to rank the first and second predictive data models based on predictive strength. The method may also include presenting a display of the ranked criteria, comprising the first portion, and a portion of the first and second predictive data models, wherein the portion of the first and second predictive data models are collectively ranked and presented according to the predictive strength.
    Type: Grant
    Filed: February 27, 2015
    Date of Patent: October 29, 2019
    Assignee: International Business Machines Corporation
    Inventors: Marc Altshuller, Jing-Yun Shyr, Damir Spisic, Margaret J. Vais, Neil Whitney
  • PREDICTIVE MODEL SEARCH BY COMMUNICATING COMPARATIVE STRENGTH
    Publication number: 20160253324
    Abstract: A method for comparing predictive data models based on a predictive model search is provided. The method may include receiving a first and second portion of a set of data. The method may also include identifying a first and second variation of the second portion, wherein the first variation is different from the second variation. The method may further include generating first predictive data models based on the first variation, and second predictive data models based on the second variation. Additionally, the method may include applying a criteria to rank the first and second predictive data models based on predictive strength. The method may also include presenting a display of the ranked criteria, comprising the first portion, and a portion of the first and second predictive data models, wherein the portion of the first and second predictive data models are collectively ranked and presented according to the predictive strength.
    Type: Application
    Filed: February 27, 2015
    Publication date: September 1, 2016
    Inventors: Marc Altshuller, Jing-Yun Shyr, Damir Spisic, Margaret J. Vais, Neil Whitney
  • PREDICTIVE MODEL SEARCH BY COMMUNICATING COMPARATIVE STRENGTH
    Publication number: 20160253330
    Abstract: A method for comparing predictive data models based on a predictive model search is provided. The method may include receiving a first and second portion of a set of data. The method may also include identifying a first and second variation of the second portion, wherein the first variation is different from the second variation. The method may further include generating first predictive data models based on the first variation, and second predictive data models based on the second variation. Additionally, the method may include applying a criteria to rank the first and second predictive data models based on predictive strength. The method may also include presenting a display of the ranked criteria, comprising the first portion, and a portion of the first and second predictive data models, wherein the portion of the first and second predictive data models are collectively ranked and presented according to the predictive strength.
    Type: Application
    Filed: March 22, 2016
    Publication date: September 1, 2016
    Inventors: Marc Altshuller, Jing-Yun Shyr, Damir Spisic, Margaret J. Vais, Neil Whitney