Patents by Inventor Barron Webster

Barron Webster 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).

  • Node-based interface for machine learning classification modeling
    Patent number: 11593712
    Abstract: One or more processors may output for display, an interface including a data classification section including two or more class nodes, a training section including a training node, and an evaluation section including an evaluation node. At a first class node a first set of training data may be captured and at a second class node a second set of training data may be captured. In response to an input received at the training node, a classification model based on the first set of training data and the second set of training data may be trained. Evaluation data may be captured in an evaluation node, and using the trained classification model, classifications for each piece of the evaluation data may be determined. A visual representation of the classification for each piece of the evaluation data may be output for display within the evaluation node.
    Type: Grant
    Filed: May 4, 2020
    Date of Patent: February 28, 2023
    Assignee: Google LLC
    Inventors: Barron Webster, Irene Alvarado, Kyle Phillips, Alexander Chen, Jonas Pieter Halfdan Jongejan, Jordan Griffith, Amit Pitaru
  • Node-Based Interface For Machine Learning Classification Modeling
    Publication number: 20210342739
    Abstract: One or more processors may output for display, an interface including a data classification section including two or more class nodes, a training section including a training node, and an evaluation section including an evaluation node. At a first class node a first set of training data may be captured and at a second class node a second set of training data may be captured. In response to an input received at the training node, a classification model based on the first set of training data and the second set of training data may be trained. Evaluation data may be captured in an evaluation node, and using the trained classification model, classifications for each piece of the evaluation data may be determined. A visual representation of the classification for each piece of the evaluation data may be output for display within the evaluation node.
    Type: Application
    Filed: May 4, 2020
    Publication date: November 4, 2021
    Inventors: Barron Webster, Irene Alvarado, Kyle Phillips, Alexander Chen, Jonas Pieter Halfdan Jongejan, Jordan Griffith, Amit Pitaru
  • Display screen with icon
    Patent number: D858570
    Type: Grant
    Filed: October 3, 2017
    Date of Patent: September 3, 2019
    Assignee: GOOGLE LLC
    Inventors: Carlos Palacio, José Guizar Villalvazo, Jeffrey Schmidt, Elliot Burford, Barron Webster, Carsten Hinz