70 search results - page 6 / 14 » Adaptive Importance Sampling Technique for Markov Chains Usi... |
MOR
2007
13 years 7 months ago
2007
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
ate Abstractions of Discrete-Time Controlled Stochastic Hybrid Systems Alessandro D’Innocenzo, Alessandro Abate, and Maria D. Di Benedetto — This work proposes a procedure to c...
INFOCOM
2010
IEEE
13 years 6 months ago
2010
IEEE
—Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distribu...