1617 search results - page 9 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
DCC
2008
IEEE
14 years 7 months ago
2008
IEEE
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
NIPS
2003
13 years 8 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
TIT
2008
13 years 6 months ago
2008
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...