Patents by Inventor Sylvie T. Kabisa

Sylvie T. Kabisa 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).

  • Flexible program functions usable for customizing execution of a sequential Monte Carlo process in relation to a state space model
    Patent number: 11501041
    Abstract: One example described herein involves a system receiving task data and distribution criteria for a state space model from a client device. The task data can indicate a type of sequential Monte Carlo (SMC) task to be implemented. The distribution criteria can include an initial distribution, a transition distribution, and a measurement distribution for the state space model. The system can generate a set of program functions based on the task data and the distribution criteria. The system can then execute an SMC module to generate a distribution and a corresponding summary, where the SMC module is configured to call the set of program functions during execution of an SMC process and apply the results returned from the set of program functions in one or more subsequent steps of the SMC process. The system can then transmit an electronic communication to the client device indicating the distribution and its corresponding summary.
    Type: Grant
    Filed: April 27, 2022
    Date of Patent: November 15, 2022
    Assignee: SAS INSTITUTE INC.
    Inventors: Xilong Chen, Yang Zhao, Sylvie T. Kabisa, David Bruce Elsheimer
  • Flexible Program Functions Usable for Customizing Execution of a Sequential Monte Carlo Process in Relation to a State Space Model
    Publication number: 20220350944
    Abstract: One example described herein involves a system receiving task data and distribution criteria for a state space model from a client device. The task data can indicate a type of sequential Monte Carlo (SMC) task to be implemented. The distribution criteria can include an initial distribution, a transition distribution, and a measurement distribution for the state space model. The system can generate a set of program functions based on the task data and the distribution criteria. The system can then execute an SMC module to generate a distribution and a corresponding summary, where the SMC module is configured to call the set of program functions during execution of an SMC process and apply the results returned from the set of program functions in one or more subsequent steps of the SMC process. The system can then transmit an electronic communication to the client device indicating the distribution and its corresponding summary.
    Type: Application
    Filed: April 27, 2022
    Publication date: November 3, 2022
    Applicant: SAS Institute Inc.
    Inventors: Xilong Chen, Yang Zhao, Sylvie T. Kabisa, David Bruce Elsheimer