Patents by Inventor Robert Wayne Thompson

Robert Wayne Thompson 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).

  • PROCESS FOR MAKING FLEXIBLE, POROUS, DISSOLVABLE SOLID SHEET ARTICLES WITH IMPROVED PORE STRUCTURES
    Publication number: 20240092990
    Abstract: This provides an improved process for making a flexible, porous, dissolvable solid sheet article with improved pore structures.
    Type: Application
    Filed: November 8, 2023
    Publication date: March 21, 2024
    Inventors: Hongsing TAN, Robert Wayne GLENN, JR., Carl David MAC NAMARA, Todd Ryan THOMPSON, Jason Allen STAMPER, John Philip HECHT, Xu HUANG, Ruizhi PEI, Paolo Efrain PALACIO MANCHENO, Toshiyuki OKADA
  • Advanced detection of rare events and corresponding interactive graphical user interface
    Patent number: 11157837
    Abstract: A system can obtain observations from a dataset. The system can generate a set of training partitions based on the observations and generate an ensemble of machine-learning models based on the set of training partitions. The system can then receive new data and detect whether the new data is indicative of the event using the ensemble. In some cases, the system can update the ensemble by providing the new data as input to an unsupervised machine-learning model that is separate from the ensemble of machine-learning models; receiving an output from the unsupervised machine-learning model indicating whether or not the new data is indicative of the event; incorporating a new observation into the dataset indicating whether or not the new data is indicative of the event based on the output from the unsupervised machine-learning model; and updating the ensemble based on the dataset with the new observation.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: October 26, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: Yue Qi, Jeffrey Todd Miller, Jr., Thomas Francis Mutdosch, Rory David Ness MacKenzie, Iain Douglas Jackson, Peter Rowland Eastwood, Ryan Gillespie, Adam Michael Ames, Andrew John Knotts, Robert Wayne Thompson
  • ADVANCED DETECTION OF RARE EVENTS AND CORRESPONDING INTERACTIVE GRAPHICAL USER INTERFACE
    Publication number: 20200042904
    Abstract: A system can obtain observations from a dataset. The system can generate a set of training partitions based on the observations and generate an ensemble of machine-learning models based on the set of training partitions. The system can then receive new data and detect whether the new data is indicative of the event using the ensemble. In some cases, the system can update the ensemble by providing the new data as input to an unsupervised machine-learning model that is separate from the ensemble of machine-learning models; receiving an output from the unsupervised machine-learning model indicating whether or not the new data is indicative of the event; incorporating a new observation into the dataset indicating whether or not the new data is indicative of the event based on the output from the unsupervised machine-learning model; and updating the ensemble based on the dataset with the new observation.
    Type: Application
    Filed: August 2, 2019
    Publication date: February 6, 2020
    Applicant: SAS Institute Inc.
    Inventors: Yue Qi, Jeffrey Todd Miller, JR., Thomas Francis Mutdosch, Rory David Ness MacKenzie, Iain Douglas Jackson, Peter Rowland Eastwood, Ryan Gillespie, Adam Michael Ames, Andrew John Knotts, Robert Wayne Thompson
  • Techniques for interactive decision trees
    Patent number: 9495426
    Abstract: Techniques for providing interactive decision trees are included. For example, a system is provided that stores data related to a decision tree, wherein the data includes one or more data structures and one or more portions of code. The system receives input corresponding to an interaction request associated with a modification to the decision tree. The system determines whether the modification requires multiple-processing iterations of the distributed data set. The system generates an application layer modified decision tree when the generating requires no multiple-processing iterations of the distributed data set. The system facilitates server layer modification of the decision tree when the modification requires multiple-processing iterations of the distributed data set. The system generates a representation of the application layer modified decision tree or the server layer modified decision tree.
    Type: Grant
    Filed: July 2, 2015
    Date of Patent: November 15, 2016
    Assignee: SAS Institute Inc.
    Inventors: Xiangxiang Meng, Rajendra Singh, Xiangqian Hu, Duane Hamilton, Robert Wayne Thompson
  • TECHNIQUES FOR INTERACTIVE DECISION TREES
    Publication number: 20160048566
    Abstract: Techniques for providing interactive decision trees are included. For example, a system is provided that stores data related to a decision tree, wherein the data includes one or more data structures and one or more portions of code. The system receives input corresponding to an interaction request associated with a modification to the decision tree. The system determines whether the modification requires multiple-processing iterations of the distributed data set. The system generates an application layer modified decision tree when the generating requires no multiple-processing iterations of the distributed data set. The system facilitates server layer modification of the decision tree when the modification requires multiple-processing iterations of the distributed data set. The system generates a representation of the application layer modified decision tree or the server layer modified decision tree.
    Type: Application
    Filed: July 2, 2015
    Publication date: February 18, 2016
    Inventors: Xiangxiang Meng, Rajendra Singh, Xiangqian Hu, Duane Hamilton, Robert Wayne Thompson