1617 search results - page 108 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
ICIAP
2005
ACM
14 years 2 months ago
2005
ACM
Abstract. This paper addresses the filtering problem when no assumption about linearity or gaussianity is made on the involved density functions. This approach, widely known as pa...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
COLT
2005
Springer
14 years 2 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
DFT
2002
IEEE
14 years 2 months ago
2002
IEEE
A novel approach for reducing power consumption in checkers used for concurrent error detection is presented. Spatial correlations between the outputs of the circuit that drives t...
JCP
2008
13 years 9 months ago
2008
Embedded systems have an ever-increasing need for optimizing compilers to produce high quality codes with a limited general purpose register set. Either memory or registers are use...