Patents by Inventor Kopylov Vladislav

Kopylov Vladislav 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).

  • Parameter inference method, calculation apparatus, and system based on latent dirichlet allocation model
    Patent number: 9213943
    Abstract: A parameter inference method to solve a problem that precision of a Latent Dirichlet Allocation model is poor is provided.
    Type: Grant
    Filed: January 13, 2014
    Date of Patent: December 15, 2015
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Kopylov Vladislav, Liufei Wen, Guangyu Shi
  • Parameter Inference Method, Calculation Apparatus, and System Based on Latent Dirichlet Allocation Model
    Publication number: 20140129510
    Abstract: A parameter inference method to solve a problem that precision of a Latent Dirichlet Allocation model is poor is provided.
    Type: Application
    Filed: January 13, 2014
    Publication date: May 8, 2014
    Applicant: Huawei Technologies Co., Ltd.
    Inventors: Kopylov Vladislav, Liufei Wen, Guangyu Shi
  • System, method and apparatus for increasing speed of hierarchial latent dirichlet allocation model
    Patent number: 8527448
    Abstract: Embodiments of the present invention disclose a data processing method including: sending global initial statistical information to each slave node; merging received local statistical information of each slave node, to obtain new global statistical information; if Gibbs sampling performed by a slave node has ended, calculating a probability distribution between a document and topic and a probability distribution between the topic and a word according to the new global statistical information; according to the probability distributions obtained through calculation, establishing a likelihood function of a text set, and maximizing the likelihood function, to obtain a new hLDA hyper-parameter; and if iteration of solving for an hLDA hyper-parameter has converged, and according to the new hLDA hyper-parameter, calculating and outputting the probability distribution between the document and topic and the probability distribution between the topic and word.
    Type: Grant
    Filed: December 20, 2012
    Date of Patent: September 3, 2013
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Kopylov Vladislav, Liufei Wen, Guangyu Shi