403 search results - page 15 / 81 » Sampling Bounds for Stochastic Optimization |
JMLR
2006
14 years 11 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...
106
click to vote
CDC
2009
IEEE
14 years 9 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...
109
click to vote
CIAC
2010
Springer
15 years 3 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
14 years 11 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
15 years 5 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...