Patents by Inventor David Russell Williams, Jr.

David Russell Williams, Jr. 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).

  • Patent number: 9324022
    Abstract: Embodiments are directed towards classifying data using machine learning that may be incrementally refined based on expert input. Data provided to a deep learning model that may be trained based on a plurality of classifiers and sets of training data and/or testing data. If the number of classification errors exceeds a defined threshold classifiers may be modified based on data corresponding to observed classification errors. A fast learning model may be trained based on the modified classifiers, the data, and the data corresponding to the observed classification errors. And, another confidence value may be generated and associated with the classification of the data by the fast learning model. Report information may be generated based on a comparison result of the confidence value associated with the fast learning model and the confidence value associated with the deep learning model.
    Type: Grant
    Filed: March 4, 2015
    Date of Patent: April 26, 2016
    Assignee: Signal/Sense, Inc.
    Inventors: David Russell Williams, Jr., Luke Robert Gutzwiller, Megan Ursula Hazen, Brigham Sterling Anderson, Alan McIntyre, Tom Abeles
  • Publication number: 20150254555
    Abstract: Embodiments are directed towards classifying data using machine learning that may be incrementally refined based on expert input. Data provided to a deep learning model that may be trained based on a plurality of classifiers and sets of training data and/or testing data. If the number of classification errors exceeds a defined threshold classifiers may be modified based on data corresponding to observed classification errors. A fast learning model may be trained based on the modified classifiers, the data, and the data corresponding to the observed classification errors. And, another confidence value may be generated and associated with the classification of the data by the fast learning model. Report information may be generated based on a comparison result of the confidence value associated with the fast learning model and the confidence value associated with the deep learning model.
    Type: Application
    Filed: March 4, 2015
    Publication date: September 10, 2015
    Inventors: David Russell Williams, JR., Luke Robert Gutzwiller, Megan Ursula Hazen, Brigham Sterling Anderson, Alan McIntyre, Tom Abeles
  • Patent number: 6430584
    Abstract: A computerized spreadsheet automatically calculates a function using a set of selected cells as the cells are selected and immediately displays the result in real-time, without requiring entry of a function into a cell to perform the calculations. The computerized spreadsheet has multiple cells which are selectable by an indicator, such as a pointer or highlight bar. As the author selects one or more cells, an auto-calculator automatically calculates a preset function using the one or more selected cells and displays the result. For example, suppose the function is to sum all the values in a group of cells. As the author selects the cells within the group, the auto-calculator quickly computes the sum of the presently selected cells and displays the result. If the author changes the selection, the calculation is continuously updated and displayed in real-time. In this manner, the author can view intermediate calculations without having to write or embed a formula for them within the spreadsheet.
    Type: Grant
    Filed: March 14, 2000
    Date of Patent: August 6, 2002
    Assignee: Microsoft Corporation
    Inventors: Ross Comer, David Russell Williams, Jr.
  • Patent number: 6055548
    Abstract: A computerized spreadsheet automatically calculates a function using a set of selected cells as the cells are selected and immediately displays the result in real-time, without requiring entry of a function into a cell to perform the calculations. The computerized spreadsheet has multiple cells which are selectable by an indicator, such as a pointer or highlight bar. As the author selects one or more cells, an auto-calculator automatically calculates a preset function using the one or more selected cells and displays the result. For example, suppose the function is to sum all the values in a group of cells. As the author selects the cells within the group, the auto-calculator quickly computes the sum of the presently selected cells and displays the result. If the author changes the selection, the calculation is continuously updated and displayed in real-time. In this manner, the author can view intermediate calculations without having to write or embed a formula for them within the spreadsheet.
    Type: Grant
    Filed: June 3, 1996
    Date of Patent: April 25, 2000
    Assignee: Microsoft Corporation
    Inventors: Ross Comer, David Russell Williams, Jr.
  • Patent number: 5845300
    Abstract: A system for improving the efficiency and reliability of entering data into a database or spreadsheet computer program by providing suggested completions to the data entry operator. The operator invokes an edit mode (200) for a particular data area and a dynamic list of possible completions is generated (210) based on other data items associated with the edited data area. The list of possible completions is dynamic because it changes to reflect the status of the current data within the database or spreadsheet. As the operator enters characters of a data item (220), the list of completed data items is searched for an entry that matches the entered data item (230). If a match is found then the matching item is displayed to the data entry operator as a suggested completion (240). The data entry operator can then elect to accept the suggested completion (250) or to continue entering the data item.
    Type: Grant
    Filed: June 5, 1996
    Date of Patent: December 1, 1998
    Assignee: Microsoft Corporation
    Inventors: Ross Ward Comer, Adam Brett Stein, David Russell Williams, Jr.
  • Patent number: RE39326
    Abstract: A system for improving the efficiency and reliability of entering data into a database or spreadsheet computer program by providing suggested completions to the data entry operator. The operator invokes an edit mode (200) for a particular data area and a dynamic list of possible completions is generated (210) based on other data items associated with the edited data area. The list of possible completions is dynamic because it changes to reflect the status of the current data within the database or spreadsheet. As the operator enters characters of a data item (220), the list of completed data items is searched for an entry that matches the entered data item (230). If a match is found then the matching item is displayed to the data entry operator as a suggested completion (240). The data entry operator can then elect to accept the suggested completion (250) or to continue entering the data item.
    Type: Grant
    Filed: December 1, 2000
    Date of Patent: October 3, 2006
    Assignee: Microsoft Corporation
    Inventors: Ross Ward Comer, Adam Brett Stein, David Russell Williams, Jr.