41 search results - page 1 / 9 » Modelling local and global phenomena with sparse Gaussian pr... |
UAI
2008
13 years 5 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
NN
2006
Springer
13 years 4 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sourc...