Patents by Inventor Lawrence J. Hiller

Lawrence J. Hiller 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).

  • Discriminant forest classification method and system
    Patent number: 8306942
    Abstract: A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.
    Type: Grant
    Filed: May 6, 2009
    Date of Patent: November 6, 2012
    Assignee: Lawrence Livermore National Security, LLC
    Inventors: Barry Y. Chen, William G. Hanley, Tracy D. Lemmond, Lawrence J. Hiller, David A. Knapp, Marshall J. Mugge
  • Discriminant Forest Classification Method and System
    Publication number: 20090281981
    Abstract: A hybrid machine learning methodology and system for classification that combines classical random forest (RF) methodology with discriminant analysis (DA) techniques to provide enhanced classification capability. A DA technique which uses feature measurements of an object to predict its class membership, such as linear discriminant analysis (LDA) or Andersen-Bahadur linear discriminant technique (AB), is used to split the data at each node in each of its classification trees to train and grow the trees and the forest. When training is finished, a set of n DA-based decision trees of a discriminant forest is produced for use in predicting the classification of new samples of unknown class.
    Type: Application
    Filed: May 6, 2009
    Publication date: November 12, 2009
    Inventors: Barry Y. Chen, William G. Hanley, Tracy D. Lemmond, Lawrence J. Hiller, David A. Knapp, Marshall J. Mugge