Patents by Inventor Roy Valler

Roy Valler 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).

  • Automated machine learning feature processing
    Patent number: 11443224
    Abstract: Systems and methods for machine learning feature processing are disclosed. An example method includes: selecting a predefined number of machine-based transactions; identifying a first set of features based on the predefined number of machine-based transactions; and applying a machine learning feature selection algorithm to identify a second set of features. The second set of features is smaller than the first set of features, and the second set of features includes no more than a predefined number of features. The method also includes constructing a decision tree based on the second set of features, wherein the decision tree has a depth that is less than a predefined depth. The method optionally includes limiting the total number of features in the second set to no greater than the predefined number of features.
    Type: Grant
    Filed: August 29, 2016
    Date of Patent: September 13, 2022
    Assignee: PayPal, Inc.
    Inventors: Avishay Meron, Venkatesh Ramanathan, Roy Valler
  • Automated Machine Learning Feature Processing
    Publication number: 20180046939
    Abstract: Systems and methods for machine learning feature processing are disclosed. An example method includes: selecting a predefined number of machine-based transactions; identifying a first set of features based on the predefined number of machine-based transactions; and applying a machine learning feature selection algorithm to identify a second set of features. The second set of features is smaller than the first set of features, and the second set of features includes no more than a predefined number of features. The method also includes constructing a decision tree based on the second set of features, wherein the decision tree has a depth that is less than a predefined depth. The method optionally includes limiting the total number of features in the second set to no greater than the predefined number of features.
    Type: Application
    Filed: August 29, 2016
    Publication date: February 15, 2018
    Inventors: Avishay Meron, Venkatesh Ramanathan, Roy Valler