Online approximations for wind-field models

Csató, Lehel; Cornford, Dan and Opper, Manfred (2001). Online approximations for wind-field models. IN: Artificial Neural Networks — ICANN 2001. Lecture Notes in Computer Science, 2130 . Springer.

Abstract

We study online approximations to Gaussian process models for spatially distributed systems. We apply our method to the prediction of wind fields over the ocean surface from scatterometer data. Our approach combines a sequential update of a Gaussian approximation to the posterior with a sparse representation that allows to treat problems with a large number of observations.

Publication DOI: https://doi.org/10.1007/3-540-44668-0_43
Divisions: Engineering & Applied Sciences > Computer science
Additional Information: The original publication is available at www.springerlink.com
Event Title: International Conference on Neural Networks
Event Type: Other
Event Dates: 2001-01-01 - 2001-01-01
Uncontrolled Keywords: online approximations,Gaussian process models,spatially distributed systems,scatterometer data,Gaussian approximation
Published Date: 2001-01-01

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