Patents by Inventor Geoffrey Catto

Geoffrey Catto 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).

  • Methods and systems for constructing Bayesian belief networks
    Patent number: 8849729
    Abstract: Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
    Type: Grant
    Filed: December 13, 2011
    Date of Patent: September 30, 2014
    Assignee: Charles River Analytics, Inc.
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo
  • Conditional probability tables for Bayesian belief networks
    Patent number: 8170977
    Abstract: An apparatus for making probabilistic inferences based on a belief network includes a processing system configured to receive as input one or more parameters of a causal influence model. The belief network has a child node Y and one or more parent nodes Xi (i=1, . . . , n) for the child node Y. The causal influence model describes the influence of the parent nodes Xi on possible states of the child node Y. The processing system is further configured to use a creation function to convert the parameters of the causal influence model into one or more entries of a conditional probability table. The conditional probability table provides a probability distribution for all the possible states of the child node Y, for each combination of possible states of the parent nodes Xi.
    Type: Grant
    Filed: January 22, 2007
    Date of Patent: May 1, 2012
    Assignee: Charles River Analytics, Inc.
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo
  • Methods and Systems for Constructing Bayesian Belief Networks
    Publication number: 20120084239
    Abstract: Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
    Type: Application
    Filed: December 13, 2011
    Publication date: April 5, 2012
    Applicant: Charles River Analytics, Inc.
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo
  • Methods and systems for constructing Bayesian belief networks
    Patent number: 8078566
    Abstract: Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
    Type: Grant
    Filed: January 30, 2008
    Date of Patent: December 13, 2011
    Assignee: Charles River Analytics, Inc.
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo
  • Methods and Systems for Constructing Bayesian Belief Networks
    Publication number: 20090006305
    Abstract: Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
    Type: Application
    Filed: January 30, 2008
    Publication date: January 1, 2009
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo
  • Conditional probability tables for Bayesian belief networks
    Publication number: 20080177679
    Abstract: An apparatus for making probabilistic inferences based on a belief network includes a processing system configured to receive as input one or more parameters of a causal influence model. The belief network has a child node Y and one or more parent nodes Xi (i=1, . . . , n) for the child node Y. The causal influence model describes the influence of the parent nodes Xi on possible states of the child node Y. The processing system is further configured to use a creation function to convert the parameters of the causal influence model into one or more entries of a conditional probability table. The conditional probability table provides a probability distribution for all the possible states of the child node Y, for each combination of possible states of the parent nodes Xi.
    Type: Application
    Filed: January 22, 2007
    Publication date: July 24, 2008
    Applicant: Charles River Analytics, Inc.
    Inventors: Zachary T. Cox, Jonathan Pfautz, David Koelle, Geoffrey Catto, Joseph Campolongo