Patents by Inventor Klaus Marius Hansen

Klaus Marius Hansen 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: 10885463
    Abstract: Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.
    Type: Grant
    Filed: October 7, 2016
    Date of Patent: January 5, 2021
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Klaus Marius Hansen, Andreea-Bogdana Botez, Andrei S. Panko, Thomas Hejlsberg, Marko Perisic
  • Patent number: 10360190
    Abstract: Facilitating migration of data from a first system format to a second system. A method includes, at an extension receiving an indication that the extension should be used for data migrations. The method further includes receiving a request from a migration coordinator for migration instructions. At the extension, the method further includes identifying whether or not migration instructions are available and if the migration instructions are available, then providing the instructions to the migration coordinator. At the extension, the method further includes identifying if information about loading data is available, and if information about loading data is available, providing the information about loading data to the migration coordinator. At the extension, the method further includes identifying if a template is specified for migrating data, and if a template is specified, identifying the template to the migration coordinator.
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: July 23, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Klaus Marius Hansen, Jesper Schulz, Daniel Tabacaru, Thomas Andersen, Jennifer Ranz
  • Publication number: 20180012143
    Abstract: Training prediction models and applying machine learning prediction to data is illustrated herein. A prediction instance comprising a set of data and metadata associated with the set of data identifying a prediction type is obtained. The data and metadata are used to determine an entity to train a prediction model using the prediction type. A trained prediction model is obtained from the entity. A notification system may be configured to react to monitor contextual information and apply the prediction. A workflow system may automatically perform a function in a workflow based on prediction.
    Type: Application
    Filed: October 7, 2016
    Publication date: January 11, 2018
    Inventors: Klaus Marius Hansen, Andreea-Bogdana Botez, Andrei S. Panko, Thomas Hejlsberg, Marko Perisic
  • Publication number: 20170286413
    Abstract: Facilitating migration of data from a first system format to a second system. A method includes, at an extension receiving an indication that the extension should be used for data migrations. The method further includes receiving a request from a migration coordinator for migration instructions. At the extension, the method further includes identifying whether or not migration instructions are available and if the migration instructions are available, then providing the instructions to the migration coordinator. At the extension, the method further includes identifying if information about loading data is available, and if information about loading data is available, providing the information about loading data to the migration coordinator. At the extension, the method further includes identifying if a template is specified for migrating data, and if a template is specified, identifying the template to the migration coordinator.
    Type: Application
    Filed: May 31, 2016
    Publication date: October 5, 2017
    Inventors: Klaus Marius Hansen, Jesper Schulz, Daniel Tabacaru, Thomas Andersen, Jennifer Ranz
  • Patent number: 7096454
    Abstract: A computer program based method is described for creating models using gestures. On an input device, such as an electronic whiteboard, a user draws a gesture which is recognized by a computer program and interpreted relative to a predetermined meta-model. Based on the interpretation, an algorithm is assigned to the gesture drawn by the user. The executed algorithm may, for example, consist in creating a new model element, modifying an existing model element, or deleting an existing model element.
    Type: Grant
    Filed: March 27, 2001
    Date of Patent: August 22, 2006
    Assignee: Tyrsted Management ApS
    Inventors: Christian Heide Damm, Klaus Marius Hansen, Michael Thomsen, Michael Tyrsted
  • Publication number: 20040060037
    Abstract: A computer program based method is described for creating models using gestures. On an input device, such as an electronic whiteboard, a user draws a gesture which is recognised by a computer program and interpreted relative to a predetermined meta-model. Based on the interpretation, an algorithm is assigned to the gesture drawn by the user. The executed algorithm may, for example, consist in creating a new model element, modifying an existing model element, or deleting an existing model element.
    Type: Application
    Filed: October 31, 2002
    Publication date: March 25, 2004
    Inventors: Christian Heide Damm, Klaus Marius Hansen, Michael Thomsen, Michael Tyrsted