Online approximations for wind-field models

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


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:
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences > Non-linearity and complexity research group
Additional Information: The original publication is available at
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



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