403 search results - page 15 / 81 » Sampling Bounds for Stochastic Optimization |
JMLR
2006
13 years 9 months ago
2006
The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
CDC
2009
IEEE
13 years 7 months ago
2009
IEEE
Abstract-- We consider a wireless system with a small number of delay constrained users and a larger number of users without delay constraints. We develop a scheduling algorithm th...
CIAC
2010
Springer
14 years 1 months ago
2010
Springer
The study of simple stochastic games (SSGs) was initiated by Condon for analyzing the computational power of randomized space-bounded alternating Turing machines. The game is play...
MOC
2000
13 years 9 months ago
2000
We study the pathwise (strong) approximation of scalar stochastic differential equations with respect to the global error in the L2-norm. For equations with additive noise we estab...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
Given an evolutionary optimization problem with many possible genotypes for each phenotype this study investigates if the evolved genes for a given phenotype are more robust to po...