TY - CHAP
T1 - Online approximations for wind-field models
AU - Csató, Lehel
AU - Cornford, Dan
AU - Opper, Manfred
N1 - The original publication is available at www.springerlink.com
PY - 2001/1/1
Y1 - 2001/1/1
N2 - 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.
AB - 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.
KW - online approximations
KW - Gaussian process models
KW - spatially distributed systems
KW - scatterometer data
KW - Gaussian approximation
UR - http://www.springerlink.com/content/hwpa865c0q4k55wt/
U2 - 10.1007/3-540-44668-0_43
DO - 10.1007/3-540-44668-0_43
M3 - Chapter
SN - 9783540424864
VL - 2130
T3 - Lecture Notes in Computer Science
SP - 300
EP - 307
BT - Artificial Neural Networks — ICANN 2001
PB - Springer
T2 - International Conference on Neural Networks
Y2 - 1 January 2001 through 1 January 2001
ER -