Patents by Inventor Cormac Cummins

Cormac Cummins 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).

  • Optimized re-training for analytic models
    Patent number: 10832150
    Abstract: A method and system are provided for retraining an analytic model. The method includes building, by a processor, a Markov chain for the analytic model. The Markov chain has only two states that consist of an alarm state and a no alarm state. The method further includes updating, by the processor, the Markov chain with observed states, for each of a plurality of timestamps evaluated during a burn-in period. The method also includes updating, by the processor, state transition probabilities within the Markov chain, for each of a plurality of timestamps evaluated after the burn-in period. The method additionally includes generating, by the processor, a signal for causing the model to be retrained, responsive to any of the state transition probabilities representing a probability of greater than 0.5 of seeing the alarm state in a previous interval and again in a current interval.
    Type: Grant
    Filed: July 28, 2016
    Date of Patent: November 10, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Paul M. J. Barry, Cormac Cummins, Ian Manning, Vinh Tuan Thai
  • OPTIMIZED RE-TRAINING FOR ANALYTIC MODELS
    Publication number: 20180032903
    Abstract: A method and system are provided for retraining an analytic model. The method includes building, by a processor, a Markov chain for the analytic model. The Markov chain has only two states that consist of an alarm state and a no alarm state. The method further includes updating, by the processor, the Markov chain with observed states, for each of a plurality of timestamps evaluated during a burn-in period. The method also includes updating, by the processor, state transition probabilities within the Markov chain, for each of a plurality of timestamps evaluated after the burn-in period. The method additionally includes generating, by the processor, a signal for causing the model to be retrained, responsive to any of the state transition probabilities representing a probability of greater than 0.5 of seeing the alarm state in a previous interval and again in a current interval.
    Type: Application
    Filed: July 28, 2016
    Publication date: February 1, 2018
    Inventors: Paul M.J. Barry, Cormac Cummins, Ian Manning, Vinh Tuan Thai