G - Physics – 06 – F
Patent
G - Physics
06
F
G06F 17/10 (2006.01) G06F 15/18 (2006.01) G06N 3/02 (2006.01)
Patent
CA 2689789
A system for large scale data modelling is described. The system includes at least one data measurement sensor (230) for generating measured data, a training processor (240) to determine optimized hyperparameter values in relation to a Gaussian process covariance function including a sparse covariance function that is smooth and diminishes to zero outside of a characteristic hyperparameter length. An evaluation processor (260) determines model data from the Gaussian process covariance function with optimised hyperparameter values and measured data. Also described is methods for modelling date, including a method using a Gaussian process including a sparse covariance function that diminishes to zero outside of a characteristic length, wherein the characteristic length is determined from the data to be modelled.
Melkumyan Arman
Ramos Fabio Tozeto
Blake Cassels & Graydon Llp
The University Of Sydney
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