Patents Assigned to TRIANGLE IP, INC.
  • Machine learning resource allocator
    Patent number: 10069759
    Abstract: A method and system for allocation of resources is disclosed. Authenticated and unauthenticated data sources are mined to determine event vectors from a large number of cases that follow a branched processing model. A current event vector is compared to the mined event vectors with machine learning to predict future nodes for the current event vector. Historical resource allocations for the mined event vectors are used to determine resource allocation for the current event vector over time.
    Type: Grant
    Filed: January 29, 2018
    Date of Patent: September 4, 2018
    Assignee: TRIANGLE IP, INC.
    Inventors: Sameer Vadera, Katherine S. Gaudry, Thomas D. Franklin