Patents by Inventor Oliver Michael Williams

Oliver Michael Williams 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).

  • Computationally Efficient Probabilistic Linear Regression
    Publication number: 20100070435
    Abstract: A computationally efficient method of performing probabilistic linear regression is described. In an embodiment, the method involves adding a white noise term to a weighted linear sum of basis functions and then normalizing the combination. This generates a linear model comprising a set of sparse, normalized basis functions and a modulated noise term. When using the linear model to perform linear regression, the modulated noise term increases the variance associated with output values which are distant from any data points.
    Type: Application
    Filed: September 12, 2008
    Publication date: March 18, 2010
    Applicant: Microsoft Corporation
    Inventors: Joaquin Quinonero Candela, Edward Lloyd Snelson, Oliver Michael Williams