Patents by Inventor Charles Alan Dallas

Charles Alan Dallas 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).

  • Artificial intelligence trending system
    Patent number: 7403931
    Abstract: A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
    Type: Grant
    Filed: September 18, 2006
    Date of Patent: July 22, 2008
    Assignee: Verizon Business Global LLC
    Inventors: Mohammad Reza Tayebnejad, Karl Aric Van Camp, Charles Alan Dallas, John Hans Van Arkel
  • Artificial intelligence trending system
    Patent number: 7113932
    Abstract: A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
    Type: Grant
    Filed: January 10, 2002
    Date of Patent: September 26, 2006
    Assignee: MCI, LLC
    Inventors: Mohammad Reza Tayebnejad, Karl Aric Van Camp, Charles Alan Dallas, John Hans Van Arkel
  • Artificial intelligence trending system
    Publication number: 20020161731
    Abstract: A data processing system program to develop, train, and implement a neural network for identifying customers who represent a bad debt risk is disclosed. A feature vector is applied to a neural network to generate outputs that approximate the relative likelihood that customers who are the subjects of the records used to generate the feature vector will be a bad debt risk. Statistical values relating categorical attributes of the customers to the likelihood of their becoming a bad debt risk are substituted for the categorical attributes, and the attributes are normalized before the feature vector is applied to the network. In one embodiment the customers are customers of a long distance service provider.
    Type: Application
    Filed: January 10, 2002
    Publication date: October 31, 2002
    Inventors: Mohammad Reza Tayebnejad, Karl Aric Van Camp, Charles Alan Dallas, John Hans Van Arkel