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  • Publication number: 20110257949
    Abstract: A method for modelling a dataset includes a training phase, wherein the dataset is applied to a non-stationary Gaussian process kernel in order to optimize the values of a set of hyperparameters associated with the Gaussian process kernel, and an evaluation phase in which the dataset and Gaussian process kernel with optimized hyperparameters are used to generate model data. The evaluation phase includes a nearest neighbour selection step. The method may include generating a model at a selected resolution.
    Type: Application
    Filed: September 18, 2009
    Publication date: October 20, 2011
    Inventors: Shrihari Vasudevan, FabIo Tozeto Ramos, Eric Nettleton, Hugh Durrant-Whyte