Patents by Inventor Abulimiti Aji

Abulimiti Aji 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).

  • SIMULATION BASED ON PRECOMPUTED RESULTS OF THE SIMULATION
    Publication number: 20210124853
    Abstract: Examples herein involve preforming a simulation of a simulated model using precomputed results of the simulation with predetermined values for a parameter set of the simulated model. In examples herein, a test sample set is selected from a sample subsets repository, and using the test sample set, determining results of a simulation of the simulated model for the test parameters.
    Type: Application
    Filed: April 5, 2016
    Publication date: April 29, 2021
    Inventors: Mehmet Kivanc Ozonat, Abulimiti Aji, Mehmet Oguz Sayal, Natalia Vassilieva
  • Entity recognition using probabilities for out-of-collection data
    Patent number: 9104979
    Abstract: A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved.
    Type: Grant
    Filed: June 16, 2011
    Date of Patent: August 11, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Emre Kiciman, Abulimiti Aji, Kuansan Wang
  • ENTITY RECOGNITION USING PROBABILITIES FOR OUT-OF-COLLECTION DATA
    Publication number: 20120323839
    Abstract: A classifier that disambiguates among entities based on a dictionary, such as corpus of documents about those entities, is built by incorporating probabilities that an entity exists that is not in the dictionary. Given a document it is associated by the classifier with an entity. By incorporating out of collection probabilities into the classifier, a higher level of confidence in the match between an entity and a document is achieved.
    Type: Application
    Filed: June 16, 2011
    Publication date: December 20, 2012
    Applicant: Microsoft Corporation
    Inventors: Emre Kiciman, Abulimiti Aji, Kuansan Wang