627 search results - page 55 / 126 » Kolmogorov-Loveland Randomness and Stochasticity |
GECCO
2003
Springer
14 years 2 months ago
2003
Springer
For noisy optimization problems, there is generally a trade-off between the effort spent to reduce the noise (in order to allow the optimization algorithm to run properly), and t...
WSC
1997
13 years 10 months ago
1997
The paper summarizes some important results at the intersection of the fields of Bayesian statistics and stochastic simulation. Two statistical analysis issues for stochastic sim...
SIGECOM
2011
ACM
12 years 11 months ago
2011
ACM
We present algorithms for a class of resource allocation problems both in the online setting with stochastic input and in the offline setting. This class of problems contains man...
HIS
2009
13 years 6 months ago
2009
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
JMLR
2010
13 years 3 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...