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: | ?? 50811700Jl ?? College of Engineering & Physical Sciences > Systems analytics research institute (SARI) |
| 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 |
| ISBN: | 9783540424864 |
| Last Modified: | 19 Dec 2024 08:24 |
| Date Deposited: | 14 Sep 2009 13:21 |
| Full Text Link: | |
| Related URLs: |
http://www.spri ... pa865c0q4k55wt/
(Publisher URL) |
PURE Output Type: | Chapter |
| Published Date: | 2001-01-01 |
| Authors: |
Csató, Lehel
Cornford, Dan ( 
0000-0001-8787-6758)
Opper, Manfred |
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