79 search results - page 8 / 16 » Optimally combining sampling techniques for Monte Carlo rend... |
EAGC
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. In this paper, we analyze the problem of grid resource brokering in the presence of economic information about the price of resources. We examine in detail the main tasks...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
ISPD
2012
ACM
12 years 4 months ago
2012
ACM
Importance sampling is a popular approach to estimate rare event failures of SRAM cells. We propose to improve importance sampling by probability collectives. First, we use “Kul...
NIPS
2001
13 years 9 months ago
2001
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
ICASSP
2011
IEEE
13 years 3 days ago
2011
IEEE
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...