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» Randomness, Stochasticity and Approximations
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WSC
1997
13 years 10 months ago
Modeling Dependencies in Stochastic Simulation Inputs
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
James R. Wilson
AUTOMATICA
2006
140views more  AUTOMATICA 2006»
13 years 9 months ago
On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage
In this note we consider the following problem. Suppose a set of sensors is jointly trying to estimate a process. One sensor takes a measurement at every time step and the measure...
Vijay Gupta, Timothy H. Chung, Babak Hassibi, Rich...
PIMRC
2010
IEEE
13 years 7 months ago
Low-complexity admission control for distributed power-controlled networks with stochastic channels
This study addresses the general problem of efficient resource management in wireless networks with arbitrary timevarying topologies. Communication channels are assumed to generall...
Stepán Kucera, Bing Zhang
JSAC
2011
159views more  JSAC 2011»
13 years 4 months ago
An Anti-Jamming Stochastic Game for Cognitive Radio Networks
—Various spectrum management schemes have been proposed in recent years to improve the spectrum utilization in cognitive radio networks. However, few of them have considered the ...
Beibei Wang, Yongle Wu, K. J. Ray Liu, T. Charles ...
ICML
2009
IEEE
14 years 10 months ago
Model-free reinforcement learning as mixture learning
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
Nikos Vlassis, Marc Toussaint