403 search results - page 45 / 81 » Sampling Bounds for Stochastic Optimization |
TASLP
2002
13 years 9 months ago
2002
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
NIPS
2001
13 years 11 months ago
2001
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
EVOW
2012
Springer
12 years 5 months ago
2012
Springer
We are using bandit-based adaptive operator selection while autotuning parallel computer programs. The autotuning, which uses evolutionary algorithm-based stochastic sampling, take...
GECCO
2004
Springer
14 years 3 months ago
2004
Springer
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
ATAL
2007
Springer
14 years 4 months ago
2007
Springer
Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...