Patents by Inventor Jessica Kristan Wolk

Jessica Kristan Wolk 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).

  • Localized anomaly detection using contextual signals
    Patent number: 10614364
    Abstract: An expected value of a measurement in a first context may be inferred based at least partly on a contextual signal. The contextual signal may comprise an actual value that is: (i) of a same type as the expected value, and (ii) associated with a second context that is different from the first context (e.g., the contexts can comprise geographical areas), or the contextual signal may comprise an actual value that is: (i) of a different type than a type of the expected value, and (ii) associated with the first context, or a second context that is different from the first context. If a difference between the expected value and an actual value of the first context is greater than a threshold difference, this condition is considered an anomaly. A detected anomaly may be used to determine an event that may be significant or otherwise of interest to a user community.
    Type: Grant
    Filed: September 16, 2015
    Date of Patent: April 7, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: John Charles Krumm, Eric Joel Horvitz, Jessica Kristan Wolk
  • LOCALIZED ANOMALY DETECTION USING CONTEXTUAL SIGNALS
    Publication number: 20170076217
    Abstract: An expected value of a measurement in a first context may be inferred based at least partly on a contextual signal. The contextual signal may comprise an actual value that is: (i) of a same type as the expected value, and (ii) associated with a second context that is different from the first context (e.g., the contexts can comprise geographical areas), or the contextual signal may comprise an actual value that is: (i) of a different type than a type of the expected value, and (ii) associated with the first context, or a second context that is different from the first context. If a difference between the expected value and an actual value of the first context is greater than a threshold difference, this condition is considered an anomaly. A detected anomaly may be used to determine an event that may be significant or otherwise of interest to a user community.
    Type: Application
    Filed: September 16, 2015
    Publication date: March 16, 2017
    Inventors: John Charles Krumm, Eric Joel Horvitz, Jessica Kristan Wolk