352 search results - page 2 / 71 » Transformations of Gaussian Process Priors |
ESSMAC
2003
Springer
13 years 10 months ago
2003
Springer
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
NECO
2006
13 years 5 months ago
2006
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
ICA
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Although the linear mean-squared error (MSE) complex-DFT estimator, i.e., the Wiener filter, is well-known, its magnitude-DFT (MDFT) counterpart has never been considered in the ...