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US 2003/0115325 A1Published application
Adapting Bayesian network parameters on-line in a dynamic environment
AssigneeHewlett-Packard Development Company, L.P.
InventorsIra Cohen, Alexandre Bronstein, Marsha Prescott Duro
Life of this patent
Estimating the term…
Abstract
A method for adapting a Bayesian network includes determining a set of parameters for the Bayesian network, for example, initial parameters, and then updating the parameters in response to a set of observation data using an adaptive learning rate. The adaptive learning rate responds to any changes in the underlying modeled environment using minimal observation data.
Claims10
A method for adapting a Bayesian network, comprising the steps of:
- determining a set of parameters for the Bayesian network;
- updating the parameters for the Bayesian network in response to a set of observation data using an adaptive learning rate.
A system, comprising:
- on-line environment that generates a set of observation data;
- bayesian network that performs automated reasoning for the on-line environment in response to the observation data;
- on-line adapter that adapts a set of parameters for the bayesian network in response to the observation data.
Dependencies are inferred from the claim text.