Online approximations for wind-field models


Autoria(s): Csató, Lehel; Cornford, Dan; Opper, Manfred
Data(s)

01/01/2001

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/1303/1/NCRG_2001_011.pdf

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.

Publicador

Springer

Relação

http://eprints.aston.ac.uk/1303/

Tipo

Book Section

NonPeerReviewed