Patents by Inventor POLLY PO YEE LEE

POLLY PO YEE LEE 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).

  • INTERACTIVE INTERFACES FOR MACHINE LEARNING MODEL EVALUATIONS
    Publication number: 20200050968
    Abstract: A first data set corresponding to an evaluation run of a model is generated at a machine learning service for display via an interactive interface. The data set includes a prediction quality metric. A target value of an interpretation threshold associated with the model is determined based on a detection of a particular client's interaction with the interface. An indication of a change to the prediction quality metric that results from the selection of the target value may be initiated.
    Type: Application
    Filed: October 18, 2019
    Publication date: February 13, 2020
    Applicant: Amazon Technologies, Inc.
    Inventors: Polly Po Yee Lee, Nicolle M. Correa, Leo Parker Dirac, Aleksandr Mikhaylovich Ingerman
  • Interactive interfaces for machine learning model evaluations
    Patent number: 10452992
    Abstract: A first data set corresponding to an evaluation run of a model is generated at a machine learning service for display via an interactive interface. The data set includes a prediction quality metric. A target value of an interpretation threshold associated with the model is determined based on a detection of a particular client's interaction with the interface. An indication of a change to the prediction quality metric that results from the selection of the target value may be initiated.
    Type: Grant
    Filed: November 11, 2014
    Date of Patent: October 22, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Polly Po Yee Lee, Nicolle M. Correa, Leo Parker Dirac, Aleksandr Mikhaylovich Ingerman
  • Language based solution agent
    Patent number: 10013416
    Abstract: Disclosed are various embodiments for an automated service agent. Natural language inputs are obtained from a client. The natural language inputs and other data are input to machine learning models to identify intents reflected in the natural language inputs. A state in a workflow is updated to reflect the identified intents. Responses may be communicated to the client to further progress in the workflow.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: July 3, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Vikas Seshagiri Rao Bhardwaj, Jared Kane Kramer, Hung Chiu Phillip Keung, Kapil Chahal, Tarun Agarwal, Jason Sun, Gunashekar Jayaraman, Dhvani Yogesh Shah, Ariel Grob Dos Santos, Sheng Bi, Polly Po Yee Lee, Anirban Chakraborty
  • INTERACTIVE INTERFACES FOR MACHINE LEARNING MODEL EVALUATIONS
    Publication number: 20150379429
    Abstract: A first data set corresponding to an evaluation run of a model is generated at a machine learning service for display via an interactive interface. The data set includes a prediction quality metric. A target value of an interpretation threshold associated with the model is determined based on a detection of a particular client's interaction with the interface. An indication of a change to the prediction quality metric that results from the selection of the target value may be initiated.
    Type: Application
    Filed: November 11, 2014
    Publication date: December 31, 2015
    Applicant: AMAZON TECHNOLOGIES, INC.
    Inventors: POLLY PO YEE LEE, NICOLLE M. CORREA, LEO PARKER DIRAC, ALEKSANDR MIKHAYLOVICH INGERMAN