Patents by Inventor Charles Eric Dannaker

Charles Eric Dannaker 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).

  • Publication number: 20220335338
    Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
    Type: Application
    Filed: July 1, 2022
    Publication date: October 20, 2022
    Applicant: Amazon Technologies, Inc.
    Inventors: Leo Parker Dirac, Nicolle M. Correa, Charles Eric Dannaker
  • Patent number: 11379755
    Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
    Type: Grant
    Filed: December 21, 2018
    Date of Patent: July 5, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Leo Parker Dirac, Nicolle M. Correa, Charles Eric Dannaker
  • Publication number: 20190122136
    Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
    Type: Application
    Filed: December 21, 2018
    Publication date: April 25, 2019
    Applicant: Amazon Technologies, Inc.
    Inventors: Leo Parker Dirac, Nicolle M. Correa, Charles Eric Dannaker
  • Patent number: 10169715
    Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
    Type: Grant
    Filed: September 17, 2014
    Date of Patent: January 1, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Leo Parker Dirac, Nicolle M. Correa, Charles Eric Dannaker
  • Publication number: 20150379427
    Abstract: At a machine learning service, a set of candidate variables that can be used to train a model is identified, including at least one processed variable produced by a feature processing transformation. A cost estimate indicative of an effect of implementing the feature processing transformation on a performance metric associated with a prediction goal of the model is determined. Based at least in part on the cost estimate, a feature processing proposal that excludes the feature processing transformation is implemented.
    Type: Application
    Filed: September 17, 2014
    Publication date: December 31, 2015
    Applicant: AMAZON TECHNOLOGIES, INC.
    Inventors: LEO PARKER DIRAC, NICOLLE M. CORREA, CHARLES ERIC DANNAKER
  • Patent number: 8811594
    Abstract: A computing device generates a plurality of visual indications of connections made between customers and service representatives by an automated dispatcher system. The computing device further provides animations of the plurality of visual indications moving on a map between customer locations associated with the customers and service representative locations associated with the service representatives.
    Type: Grant
    Filed: September 27, 2013
    Date of Patent: August 19, 2014
    Assignee: Amazon Technologies, Inc.
    Inventors: Jason Daniel Ganzhorn, Charles Eric Dannaker, Sunitha Muthireddy, Adam Bordianu, Asem Rustum, Sippakorn Tansutthiwess